What are the responsibilities and job description for the Agentic Ai Engineer (Insurance and Agentic Workflows) - Boston, MA position at Motion Recruitment Partners, LLC?
Job Description A leading insurance organization is seeking an Agentic AI Engineer (Insurance & Agentic Workflows) to help build and scale production-grade AI solutions that transform complex business processes.
This is a hands-on engineering role focused on the design, development, and deployment of AI agents and agentic workflows that solve real-world operational challenges. You will work across software engineering, artificial intelligence, and business domains to deliver solutions that create measurable impact while helping establish AI engineering best practices across the organization.
The ideal candidate brings a strong software engineering foundation, practical experience building LLM-powered applications, and a passion for turning innovative AI concepts into scalable production systems. This role offers the opportunity to influence how enterprise AI is adopted, governed, and expanded across the business. Required Skills & Experience
Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Visa sponsorship is not available for this position.
This is a hands-on engineering role focused on the design, development, and deployment of AI agents and agentic workflows that solve real-world operational challenges. You will work across software engineering, artificial intelligence, and business domains to deliver solutions that create measurable impact while helping establish AI engineering best practices across the organization.
The ideal candidate brings a strong software engineering foundation, practical experience building LLM-powered applications, and a passion for turning innovative AI concepts into scalable production systems. This role offers the opportunity to influence how enterprise AI is adopted, governed, and expanded across the business. Required Skills & Experience
- Bachelor's degree in Computer Science, Engineering, or a related quantitative field with 7 years of software engineering, 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
- Experience deploying at least one production agentic AI system utilized by end users
- Strong Python programming and software engineering skills
- Experience building and consuming APIs within enterprise environments
- Strong understanding of testing, debugging, version control, and software delivery best practices
- Hands-on experience with agent frameworks or SDKs, with LangGraph strongly preferred
- Experience working with model APIs and managed AI platforms such as Amazon Bedrock
- Experience integrating AI applications with enterprise systems, tools, data sources, and APIs
- Experience evaluating LLM applications using testing frameworks, metrics, datasets, and automated assessments
- Understanding of AI security, reliability, governance, and responsible deployment practices
- Strong communication and stakeholder management skills
- Insurance industry experience, particularly supporting underwriting or claims operations
- AWS cloud experience
- Experience with containerization technologies and CI/CD pipelines
- Knowledge of Retrieval-Augmented Generation (RAG)
- Experience with context engineering and structured output frameworks
- Experience integrating AI agents with enterprise applications through APIs and MCP architectures
- Experience mentoring engineers and influencing AI engineering best practices
- Experience building monitoring, observability, and cost management solutions for AI systems
- Design, build, and deploy AI agents and multi-step agentic workflows that automate and improve complex business processes
- Develop reusable frameworks, components, and engineering patterns that accelerate future AI initiatives
- Translate business requirements into scalable, production-ready AI solutions
- Build backend services using Python and FastAPI
- Integrate AI agents with enterprise applications, APIs, data platforms, tools, and external services
- Establish testing methodologies, evaluation frameworks, and continuous improvement processes for AI systems
- Implement governance controls, guardrails, human-in-the-loop workflows, monitoring, and audit capabilities
- Prototype solutions rapidly and scale successful implementations into enterprise production environments
- Collaborate with technical and business stakeholders to identify opportunities where AI can provide measurable value
- Measure system effectiveness, technical performance, business outcomes, and model quality
- Communicate capabilities, limitations, risks, and recommendations to both technical and non-technical audiences
- Base Salary: $140,000 - $191,000
- Hybrid work environment
- Opportunity to work on emerging AI technologies and enterprise-scale implementations
- Career development and leadership growth opportunities
- Collaborative and innovation-focused culture
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Flexible Paid Time Off (PTO)
- 401(k) with company matching contributions
- Profit Sharing Program
- Life Insurance
- Short-Term Disability (STD)
- Long-Term Disability (LTD)
- Flexible Spending Account (FSA)
- Health Savings Account (HSA)
- Wellness Programs
Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Visa sponsorship is not available for this position.
Salary : $140,000 - $191,000