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Added 6 mins ago
TV
Software Engineer, Platform Team
The Voleon Group
Remote, United States
- $235,000 to $300,000 USD / year
We look for engineers who are motivated by solving complex problems through strong fundamentals and thoughtful system design. You’ll work in a highly collaborative environment that values…
Added 40 mins ago
Design Engineer
Actalent
Jackson, MI
…complex machinery for the food and beverage industry. The design engineer leads full lifecycle development from initial concept through 3D modeling, simulation, manufacturing support, and…
Added 43 mins ago
Senior Cyber Security Engineer - Identity and Device Management, & Networking Security
Latitude AI
Dearborn, MI · Palo Alto, CA · Pittsburgh, PA
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems…
Added 48 mins ago
MLOps Engineer ID72409
AgileEngine
Fort Lauderdale, FL
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
Added 48 mins ago
MLOps Engineer ID72409
AgileEngine
Boston, MA
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
Added 48 mins ago
MLOps Engineer ID72409
AgileEngine
Port Charlotte, FL
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
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AI Engineer
Accuity
United States
The AI Engineer develops and operates the AI systems that support automation across Accuity’s clinical documentation and revenue cycle workflows. Reporting to the Vice President, Data…
Added 50 mins ago
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AgileEngine
Jersey City, NJ
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Tallahassee, FL
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Baltimore, MD
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Tampa, FL
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Texas City, TX
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
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Atlanta, GA
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Irving, TX
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AgileEngine
New York, NY
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
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Boca Raton, FL
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Miami, FL
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Austin, TX
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Orlando, FL
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Houston, TX
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
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AgileEngine
San Francisco, CA
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
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AgileEngine
Chicago, IL
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
Added 50 mins ago
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AgileEngine
Dallas, TX
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
Added 50 mins ago
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AgileEngine
West Palm Beach, FL
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.
Added 50 mins ago
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AgileEngine
Jacksonville, FL
- 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering.

Kelly Services

Agentic AI Engineer

Webster, MA, United States

$120000 - $170000

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Job details

Pay: $120000 - $170000
Experience: · 2+ years of hands-on experience building LLM-based applications, including at least one agentic system deployed to production
Posting language: English
Posted: Oct 28, 2026

Original job description

$120000 - $170000

Job Description_____________Copy EVERYTHING Below This Line _________

Join MAPFRE as an Agentic AI Engineer (Insurance & Agentic Workflows) in Webster, MA or the Greater Boston area. This is a full-time hybrid opportunity focused on designing, building, and deploying production-grade AI agents and agentic workflows that transform complex insurance operations. You will work at the intersection of AI, software engineering, and insurance, leveraging technologies such as Python, LangGraph, AWS, FastAPI, LLMs, and agentic AI frameworks to deliver scalable, enterprise-ready solutions.

This is an opportunity to shape how agentic AI is engineered and adopted across a global insurance organization. The ideal candidate is a hands-on engineer who enjoys solving complex business problems, building production AI systems from the ground up, and collaborating closely with architects, product owners, and business stakeholders. You will own solutions end-to-end, from prototyping and validation through production deployment, while directly influencing AI best practices across the organization.

Required Skills & Experience · Bachelor's degree in Computer Science, Engineering, or a related quantitative field with 7+ years of software, machine learning, or data engineering experience, or a Master's degree with 5+ years of relevant experience

· 2+ years of hands-on experience building LLM-based applications, including at least one agentic system deployed to production

· Strong Python development skills and software engineering fundamentals

· Experience building APIs, integrating tools and services, automated testing, debugging, and version control

· Experience with agent frameworks or SDKs, with LangGraph strongly preferred

· Experience with major model APIs or managed AI platforms such as Amazon Bedrock

· Experience building production AI agents that integrate with tools, APIs, and enterprise systems

· Experience evaluating LLM applications and agents using test datasets, metrics, regression testing, and model-based evaluation

· Understanding of AI agent reliability, governance, security risks, and operational controls

· Strong problem-solving, communication, and stakeholder management skills

· Proven ability to solve complex and ambiguous problems with minimal direction

Desired Skills & Experience · Insurance industry experience strongly preferred

· Claims or underwriting domain expertise

· Experience deploying AI applications on AWS using containers and CI/CD pipelines

· Experience with retrieval-augmented generation (RAG), context engineering, and structured outputs

· Experience integrating agents into enterprise systems through APIs and MCP

· Experience mentoring team members and driving engineering best practices across teams

What You Will Be Doing

Tech Breakdown

· Design, build, and deploy AI agents and multi-step agentic workflows

· Develop backend services and APIs using Python and FastAPI

· Build and evaluate LLM-powered applications and autonomous agent systems

· Deploy cloud-native AI solutions using AWS, containers, and CI/CD

· Implement monitoring, observability, governance, and security controls for production AI systems

Daily Responsibilities

· Translate business requirements and solution designs into production-ready AI agents

· Build reusable agentic workflows and engineering patterns for underwriting and claims use cases

· Integrate AI agents with enterprise applications, APIs, data sources, and MCP servers

· Develop testing frameworks, evaluation datasets, and quality monitoring processes

· Implement guardrails, auditing, human-in-the-loop workflows, and compliance controls

· Prototype, validate, deploy, and scale AI solutions with business and technical stakeholders

· Measure technical performance and business value while communicating outcomes to technical and non-technical audiences

The Offer ·

You will receive the following benefits:

· Flexible Paid Time Off (PTO)

· 401(k) with company matching contributions and profit sharing eligibility

· Medical insurance

· Dental insurance

· Vision insurance

· Short-Term Disability (STD)

· Long-Term Disability (LTD)

· Life insurance

· Flexible Spending Account (FSA)

· Health Savings Account (HSA)

· Wellness programs

· Tuition reimbursement

· Leadership development programs

· Internal mobility and career growth opportunities

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

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