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field_job_employment_type

job_organization_name

city

state

<h3>Job Description</h3>
Lead AI Engineer

Overview:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.&nbsp; Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. &nbsp;
In this role, you will:&nbsp;

<ul>
<li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
</li>
<li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
</li>
<li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
</li>
<li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
</li>
<li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.&nbsp;
</li>
</ul>

The Ideal Candidate:
<ul>
<li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.&nbsp;
</li>
<li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
</li>
<li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
</li>
<li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.&nbsp;
</li>
<li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. &nbsp;
</li>
</ul>

Basic Qualifications:
<ul>
<li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
</li>
<li>
At least 4 years of experience programming with Python, Go, Scala, or Java
</li>
</ul>

Preferred Qualifications:
<ul>
<li>
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
</li>
<li>
Experience designing, developing, delivering, and supporting AI services
</li>
<li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
</li>
<li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
</li>
<li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
</li>
</ul>

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
 &nbsp;
McLean, VA: $197,300 - $225,100 for Lead AI Engineer
 &nbsp;
New York, NY: $215,200 - $245,600 for Lead AI Engineer
 &nbsp;
San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
 &nbsp;
San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer

<h3>Job Description</h3>
Lead Machine Learning Engineer (Gen AI, Python, Go, AWS)

As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You’ll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You’ll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering.

What you’ll do in the role
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
<ul>
<li>
Design, build, and deliver GenAI models and components that solve complex business problems, while working in collaboration with the Product and Data Science teams.
</li>
<li>
Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models.
</li>
<li>
Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment.
</li>
<li>
Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications.
</li>
<li>
Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints.
</li>
<li>
Retrain, maintain, and monitor models in production.
</li>
<li>
Construct optimized, scalable data pipelines to feed ML models.
</li>
<li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
</li>
<li>
Use programming languages like Python, Go, Scala or Java
</li>
</ul>

Basic Qualifications:
<ul>
<li>
Bachelor’s Degree&nbsp;
</li>
<li>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
</li>
<li>
At least 4 years of experience programming with Python, Scala, Go or Java
</li>
<li>
At least 2 years of experience building, scaling, and optimizing ML systems
</li>
</ul>

Preferred Qualifications:
<ul>
<li>
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
</li>
<li>
3+ years of experience building production-ready data pipelines that feed ML models&nbsp;
</li>
<li>
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow&nbsp;
</li>
<li>
2+ years of experience developing performant, resilient, and maintainable code
</li>
<li>
2+ years of experience with data gathering and preparation for ML models
</li>
<li>
2+ years of people leader experience
</li>
<li>
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation&nbsp;
</li>
<li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
</li>
<li>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance&nbsp;
</li>
<li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents&nbsp; &nbsp;
</li>
</ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer
 &nbsp;
McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer
 &nbsp;
New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer
 &nbsp;
San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS)

<h3>Job Description</h3>
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Overview 
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.&nbsp; Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. &nbsp;
In this role, you will:&nbsp;
<ul>
<li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
</li>
<li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
</li>
<li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
</li>
<li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
</li>
<li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.&nbsp;
</li>
</ul>

The Ideal Candidate:
<ul>
<li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.&nbsp;
</li>
<li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
</li>
<li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
</li>
<li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.&nbsp;
</li>
<li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. &nbsp;
</li>
</ul>

Basic Qualifications:
<ul>
<li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
</li>
<li>
At least 4 years of experience programming with Python, Go, Scala, or Java
</li>
</ul>

Preferred Qualifications:
<ul>
<li>
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
</li>
<li>
Experience designing, developing, delivering, and supporting AI services
</li>
<li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
</li>
<li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
</li>
<li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
</li>
</ul>

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
 &nbsp;
McLean, VA: $197,300 - $225,100 for Lead AI Engineer
 &nbsp;
New York, NY: $215,200 - $245,600 for Lead AI Engineer
 &nbsp;
San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
 &nbsp;
San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

<h3>Job Description</h3>
Please send current resumes directly to <a href="mailto:bhagyashree.yewle@yoh.com" target="_blank">bhagyashree.yewle@yoh.com</a> Bhagyashree Yewle, Principal Lead Recruiter&nbsp;- YOH SPG <a href="https://www.linkedin.com/in/bhagyashreeyewle/" target="_blank">https://www.linkedin.com/in/bhagyashreeyewle/</a> Senior AI Platform Engineer with Agentic AI &amp; Model Context Protocol (MCP) Location:&nbsp;Preferred local candidates but open to 100% remote working EST HOURS This is a long term contract. Open to W2 and CTC Contractors This role supports AthenaHealth’s&nbsp;Internal Developer Platform (IDP)&nbsp;by enabling developers and improving the overall&nbsp;development experience and R&amp;D productivity. The focus is on introducing&nbsp;agentic AI capabilities&nbsp;into existing developer workflows in a practical, production-ready way. This is an&nbsp;enablement role, not a product role. MUST HAVE SKILLS 
<ul>
<li>Agentic AI experience is critical. Someone who has&nbsp;already built agentic AI solutions, can deliver quickly while&nbsp;advise and upskill the team through real implementation.&nbsp;</li>
<li>This person is expected to be the&nbsp;agentic AI subject-matter expert</li>
<li>MCP familiarity - Understand how to set up and run MCP servers</li>
</ul>
**Current Technical Focus** 
<ul>
<li>Building and maintaining&nbsp;MCP servers, particularly in support of:
<ul>
<li>Jenkins</li>
<li>CI/CD pipelines</li>
</ul>
</li>
<li>New strategic initiative:&nbsp;building AI agents&nbsp;to:
<ul>
<li>Clean up code</li>
<li>Improve unit test coverage</li>
</ul>
</li>
<li>The team plans to:
<ul>
<li>Start with&nbsp;one agent solution</li>
<li>Expand once patterns and value are proven </li>
</ul>
</li>
</ul>
Estimated Min Rate: $75.00 Estimated Max Rate: $90.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: 
<ul>
<li>Medical, Prescription, Dental &amp; Vision Benefits (for employees working 20+ hours per week)</li>
<li>Health Savings Account (HSA) (for employees working 20+ hours per week)</li>
<li>Life &amp; Disability Insurance (for employees working 20+ hours per week)</li>
<li>MetLife Voluntary Benefits</li>
<li>Employee Assistance Program (EAP)</li>
<li>401K Retirement Savings Plan</li>
<li>Direct Deposit &amp; weekly epayroll</li>
<li>Referral Bonus Programs</li>
<li>Certification and training opportunities </li>
</ul>
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day &amp; Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit <a href="https://www.yoh.com/applicants-with-disabilities" target="_blank">https://www.yoh.com/applicants-with-disabilities</a> to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice:&nbsp;<a href="https://www.yoh.com/privacy-notice" target="_blank">https://www.yoh.com/privacy-notice</a>

Senior AI Platform Engineer with Agentic AI & MCP - 100% Remote Contract working EST Hours

<h3>Job Description</h3>
Job DescriptionEngineering Manager
Engineering Manager
Company Overview We are a widely recognized and well-known manufacturing company that has been proudly serving the greater Vermont area for over 30 years! We have an incredibly intelligent team with some of the brightest minds in our field. We greatly value a good work-life balance and enjoying all that Vermont has to offer.&nbsp; Position Overview The Engineering Manager will lead a team of engineers to develop innovative solutions and oversee engineering projects from conception to completion. This position requires strong leadership skills and technical expertise in mechanical engineering and manufacturing processes to drive product development and ensure project success. Key Responsibilities
<ul>
<li>Lead and manage a team of engineers in the design and development of mechanical systems.</li>
<li>Oversee the engineering processes and ensure adherence to best practices in manufacturing and design.</li>
<li>Collaborate with cross-functional teams to drive new product development and innovation.</li>
<li>Review and approve engineering designs and documentation using SolidWorks and AutoCAD.</li>
<li>Ensure that engineering projects are completed on time and within budget while meeting quality standards.</li>
<li>Provide guidance and mentorship to engineering staff to foster professional growth and development.</li>
</ul>
Qualifications
<ul>
<li>Bachelor's degree in Mechanical Engineering or a related field.</li>
<li>5+ years of experience in engineering management or a similar role.</li>
<li>Proficient in SolidWorks and AutoCAD software.</li>
<li>Strong knowledge of manufacturing processes and engineering principles.</li>
<li>Experience with electrical systems and lighting design is a plus.</li>
<li>Professional Engineer (PE) certification is preferred.</li>
<li>Familiarity with new product development and RFC processes.</li>
</ul>
Benefits
<ul>
<li>Medical</li>
<li>Dental</li>
<li>Vision</li>
<li>401k w/ match</li>
<li>PTO</li>
</ul>
 - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 10/30/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. &nbsp;CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at <a href="mailto:Benefits@CyberCoders.com" target="_blank">Benefits@CyberCoders.com</a> to make arrangements.

Engineering Manager

<h3>Job Description</h3>
Job DescriptionDescription:

The Engineering Manager will lead a team focused on sustaining engineering, document control, cost optimization (VAVE), and cross-functional support for a leading commercial fryer manufacturer. This role ensures product reliability, compliance, and continuous improvement for existing product lines, while collaborating closely with operations, quality, service, and supply chain teams.
Essential Duties and Responsibilities include the following. Other duties may be assigned.
Lead sustaining engineering activities for existing fryer product lines, ensuring performance, reliability, and manufacturability. Activities include, but not limited to, projects, FMEAs, and Root Cause Analysis.
Address field issues and implement corrective actions promptly.
Manage component obsolescence and lifecycle updates.
Oversee engineering documentation processes, including BOMs, drawings, and specifications, per engineering procedures.
Ensure compliance with UL, NSF, CE, and other applicable regulatory standards.
Drive VAVE initiatives to identify and implement cost-reduction opportunities without compromising quality or safety.
Collaborate with suppliers and internal teams to optimize design and manufacturing processes.
Partner with Operations, Quality, service, and Supply Chain to resolve technical challenges and support manufacturing transitions.
Implement continuous improvement initiatives.
Manage and mentor engineering staff, fostering a culture of accountability and innovation.
Adhere to all departmental and company-wide safety and procedural policies.
Supervisory Responsibilities
This job has supervisory responsibilities. 
Requirements:

Competencies
To perform the job successfully, an individual should demonstrate the following competencies:
Problem Solving – Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions; Works well in group problem solving situations; Uses reason even when dealing with emotional topics.
Technical Skills – Maintains strong knowledge of mechanical design, manufacturing processes, and regulatory compliance; Pursues ongoing training and development; Applies engineering principles to improve product performance and cost efficiency.
Customer Service – Responds promptly to internal and external customer needs; Solicits feedback to improve service; Meets commitments to support manufacturing and product reliability.
Interpersonal Skills – Focuses on solving conflict, not blaming; Maintains confidentiality; Listens to others without interrupting; Keeps emotions under control; Remains open to others' ideas and tries new things.
Oral Communication – Speaks clearly and persuasively in positive or negative situations; Listens and gets clarification; Responds well to questions; Demonstrates group presentation skills; Participates in meetings.
Written Communication – Writes clearly and informatively; Edits work for spelling and grammar; Presents numerical data effectively; Able to read and interpret written information. 
Teamwork – Balances team and individual responsibilities; Exhibits objectivity and openness to others' views; Contributes to building a positive team spirit; Puts success of team above own interests; Supports everyone's efforts to succeed.
Cost Consciousness – Works within approved budget; Conserves organizational resources; Identifies opportunities for cost reduction through VAVE initiatives.
Diversity – Shows respect and sensitivity for cultural differences; Educates others on the value of diversity; Promotes a harassment-free environment; Builds a diverse workforce.
Ethics – Treats people with respect; Keeps commitments; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values.
Organizational Support – Follows policies and procedures; Completes administrative tasks correctly and on time; Supports organization's goals and values; Supports affirmative action and respects diversity.
Judgment – Displays willingness to make decisions; Exhibits sound and accurate judgment; Supports and explains reasoning for decisions; Includes appropriate people in decision-making process; Makes timely decisions.
Motivation – Sets and achieves challenging goals; Demonstrates persistence and overcomes obstacles; Measures self against standard of excellence; Takes calculated risks to accomplish goals. 
Planning/Organizing – Prioritizes and plans work activities; Uses time efficiently.
Professionalism – Approaches others in a tactful manner; Reacts well under pressure; Accepts responsibility for own actions; Follows through on commitments.
Quality – Demonstrates accuracy and thoroughness; Monitors own work to ensure quality.
Quantity – Completes work in a timely manner.
Safety and Security – Observes safety and security procedures; Determines appropriate action beyond guidelines; Reports potentially unsafe conditions; Uses equipment and materials properly.
Adaptability – Adapts to changes in the work environment; Able to deal with frequent change, delays, or unexpected events. 
Attendance/Punctuality – Is consistently at work and on time; Arrives at meetings and appointments on time.
Dependability – Follows instructions, responds to management direction; Takes responsibility for own actions; Completes tasks on time or notifies appropriate person with an alternate plan.
Initiative – Undertakes self-development activities; Asks for and offers help when needed.
Innovation – Displays original thinking and creativity; Meets challenges with resourcefulness; Generates suggestions for improving work.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education and/or Experience
Bachelor’s degree (B.S.) in Mechanical Engineering or related field, or equivalent combination of education and experience.
Minimum 7 years of engineering experience in a manufacturing environment, preferably in foodservice equipment.
Experience in sustaining engineering, document control, and cost optimization (VAVE) required.
Familiarity with UL, NSF, CE compliance standards preferred.
Leadership experience managing engineering teams and cross-functional projects.
Language Skills
Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the public.
Mathematical Skills
Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume. Ability to apply concepts of basic algebra and geometry.
Reasoning Ability
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Computer Skills
Must have knowledge of database software, internet software, spreadsheet software, ERP systems, and word processing software.
Certificates, Licenses, Registrations
None. Certification may be required at any time with reasonable notice and timeline for completion.
Other Skills and Abilities
None. May be required at any time with reasonable notice and timeline for completion.
Other Qualifications
None. May be required at any time with reasonable notice and timeline for completion
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to walk; sit; talk; hear; use hands to finger, handle, or feel. The employee is occasionally required to stand and reach with hands and arms. The employee must occasionally lift and/or move up to 35 pounds at a time with frequent lifting or carrying of objects weighing up to 15 pounds. Specific vision abilities required by this job include: color vision, close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus.
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets, and fax machines. The worker is not substantially exposed to adverse environmental conditions. The noise level in the work environment is quiet to moderate.

<h3>Job Description</h3>
Job Description
Looking to level up your career and boost your income? At Voyage Healthcare, we help connect nurses, therapists, and allied health pros with high-paying travel jobs at top-rated facilities across the U.S. With thousands of openings nationwide, you can earn up to $3,500+ per week (depending on your specialty, location, housing, and benefits)—all while making a real impact on the communities that need you most. Let your next adventure start with us!

Position: ALLIED-X-Ray Tech (Travel/Contract)

We're hiring experienced ALLIED-X-Ray Tech for a 13-week contract in Meredith, New Hampshire — earn up to ($1689 - $1778 per week) while providing essential care at a leading facility. Most candidates will need to have at least 2 years of recent experience in the specialty.

Apply &amp; Call us today at 800-798-6035 for details on this opportunity.

Position Details

Specialty: ALLIED-X-Ray Tech
Location: Meredith, New Hampshire
Employment Type: Travel/Contract
Pay: $1689 - $1778 per week
Shift: 3x12 Days
Start Date: ASAP
Contract Length: 13-week

Travel ALLIED-X-Ray Tech in Meredith, New Hampshire

<h3>Job Description</h3>
Job Description
Looking to level up your career and boost your income? At Voyage Healthcare, we help connect nurses, therapists, and allied health pros with high-paying travel jobs at top-rated facilities across the U.S. With thousands of openings nationwide, you can earn up to $3,500+ per week (depending on your specialty, location, housing, and benefits)—all while making a real impact on the communities that need you most. Let your next adventure start with us!

Position: ALLIED-X-Ray Tech (Travel/Contract)

We're hiring experienced ALLIED-X-Ray Tech for a 13-week contract in Brattleboro, Vermont — earn up to ($2301 - $2423 per week) while providing essential care at a leading facility. Most candidates will need to have at least 2 years of recent experience in the specialty.

Apply &amp; Call us today at 800-798-6035 for details on this opportunity.

Position Details

Specialty: ALLIED-X-Ray Tech
Location: Brattleboro, Vermont
Employment Type: Travel/Contract
Pay: $2301 - $2423 per week
Shift: 5x8 Days
Start Date: ASAP
Contract Length: 13-week

Travel ALLIED-X-Ray Tech in Brattleboro, Vermont

<h3>Job Description</h3>
Job DescriptionJob Title: Lighting Field Service Technician Company Overview: Join our client's dynamic team specializing in theatrical/stage lighting and TV studio production, with a growing focus on architectural and creative lighting solutions. This full-time direct placement position offers a fast-paced, exciting environment where you can face new challenges and continuously learn. Key Responsibilities: 
<ul>
<li>Become a certified ETC Authorized Service Provider.</li>
<li>Prepare and start up new stage and studio lighting systems.</li>
<li>Provide field service support for existing lighting systems and equipment.</li>
<li>Offer technical phone support during and after business hours.</li>
<li>Train customers on the operation of new lighting equipment.</li>
</ul>
Required Skills and Qualifications: 
<ul>
<li>Experience in the installation, operation, and integration of entertainment and architectural lighting control systems.</li>
<li>Background in live production, broadcast, or film production industries.</li>
<li>Proficiency in DMX and network control configurations.</li>
<li>Ability to read and understand riser diagrams, technical schematics, and related drawings.</li>
<li>Excellent interpersonal, time management, and problem-solving skills.</li>
</ul>
Some of the Benefits Include: 
<ul>
<li>Fully funded health care benefits for you and your family! </li>
<li>Fully paid vacation, sick/personal time, and an additional ten paid holidays </li>
<li>401k w/ employer match </li>
<li>Flex spending accounts for health care and/or dependent care </li>
<li>Pet insurance available </li>
</ul>
 This position does require travel to job sites for extended periods and involves physical tasks, including lifting up to 50lbs and working at heights. An ideal candidate will have a valid driver's license, a personal vehicle for business use, and a commitment to promoting a safe work environment.

Lighting Field Service Technician

<h3>Job Description</h3>
Job DescriptionDescription:
Grow Your Career with Lawn Doctor! 
 
Field Service Technician
Lawn Doctor’s Field Service Technicians are the backbone and face of our operation. In this role, you’ll provide expert lawn, tree &amp; shrub, and outdoor pest control services that help homeowners enjoy their outdoor spaces.
 
If you enjoy hands-on work, take pride in delivering quality results, and want a career with growth opportunities, we’d love to meet you. No prior lawn experience required; we provide training and ongoing support to help you succeed. 
 
About Lawn Doctor of Boston, South Shore &amp; Cape Cod
For over 37 years, Lawn Doctor has been a trusted leader in lawn care, tree and shrub, and pest control services. Our mission is simple: we cultivate healthy lawns, create happy customers, and grow successful careers. 
 
Based in Hanson, MA, we’re a family-owned business built on accountability, growth, integrity, positivity, and results. If these values resonate with you, you’ll quickly become a successful member of our team. 
 
Your Responsibilities
<ul>
<li>Apply lawn care, tree &amp; shrub, and/or outdoor pest control treatments with precision and care</li>
<li>Diagnose lawn and property issues such as disease, insect damage, and turf stress</li>
<li>Communicate clearly with customers, offering expert recommendations</li>
<li>Maintain accurate service records using a mobile device </li>
<li>Safely operate company vehicles and equipment</li>
<li>Follow all company policies, procedures, and safety standards</li>
<li>Deliver a professional service experience that builds long-term customer trust and loyalty </li>
</ul>
Requirements:
Your Skills &amp; Experience 
<ul>
<li>High school diploma or equivalent</li>
<li>Valid Massachusetts driver’s license with a clean driving record</li>
<li>Ability to lift up to 50 lbs. and perform physical outdoor work </li>
<li>Ability to walk, stand, and work outside for extended periods</li>
<li>Ability to operate a motor vehicle for extended periods</li>
<li>Comfortable using a mobile device and applications</li>
<li>Strong work ethic, reliability, and attention to detail </li>
</ul>
Nice to Haves (Not Required) 
<ul>
<li>Experience in lawn care, landscaping, pest control, or labor roles </li>
<li>Knowledge of plant health or turf management </li>
<li>Massachusetts Pesticide Applicator’s License ($1,500 signing bonus) </li>
</ul>
Licensing 
This role requires employees to obtain a Massachusetts Pesticide Applicator’s License after training, but you do not need one to apply. We provide: 
<ul>
<li>Paid training </li>
<li>Exam coordination</li>
<li>Coverage of exam costs (up to two attempts) </li>
</ul>
This makes the Field Service Technician role ideal for candidates of all experience levels. 
 
Compensation
<ul>
<li>$20.00-$23.00 per hour for candidates without a MA Pesticide Applicator’s License and new to the lawn care industry </li>
<li>$22.00-$30.00 per hour for candidates with a MA Pesticide Applicator’s License, based on skills, experience, and certifications </li>
<li>Eligible for weekly production bonuses </li>
<li>Lucrative year-end bonus based on individual and company performance </li>
<li>$1,500.00 signing bonus for technicians who already hold a MA Pesticide Applicator’s License </li>
</ul>
Work Schedule
<ul>
<li>Full-time position, Monday through Friday</li>
<li>Overtime opportunities available </li>
<li>Some Saturday work required during peak seasons (spring &amp; fall) </li>
</ul>
Perks &amp; Benefits
<ul>
<li>Medical, dental, and vision insurance (60% employer-paid premiums) </li>
<li>Simple IRA retirement with company match </li>
<li>Paid time off &amp; holidays </li>
<li>Life and AD&amp;D insurance </li>
<li>Long-term disability coverage </li>
<li>Fitness club membership discounts </li>
<li>Employee recognition and bonus platform </li>
<li>Year-end bonus based on individual and company performance </li>
</ul>
Join Our Team!
At Lawn Doctor, we believe a great team is built on respect, collaboration, and supporting one another. We welcome people from all walks of life who are ready to learn, grow, and make a difference for our customers. 
 
If you’re looking for a hands-on career with opportunities to grow and develop, apply now to become a Field Service Technician. We can’t wait to see what you’ll bring to the team!

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