Job Description A leading insurance and financial services organization is seeking an
Agentic AI Engineer to design, build, and deploy production-grade AI agents that solve complex business problems at scale. This is a hands-on engineering role focused on transforming high-value insurance workflows through agentic AI, large language models, and modern cloud-native development practices.
The ideal candidate combines strong Python software engineering skills with practical experience building and operating LLM-powered applications in production. You will work closely with architects, product stakeholders, and business experts to develop intelligent automation solutions that improve operational efficiency, decision-making, and customer outcomes.
This is a hybrid position requiring 3 days per week onsite in the Greater Boston area. 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 and deploying LLM-based applications used by real users in production environments
- Proven experience developing at least one agentic AI solution involving tool calling, orchestration, or multi-step autonomous workflows
- Strong Python development skills and solid software engineering fundamentals
- Experience with API integration, automated testing, version control, debugging, and resilient application design
- Hands-on experience with an agent framework or SDK, preferably LangGraph
- Experience integrating AI agents with enterprise systems, tools, and external services
- Familiarity with major model APIs or managed AI platforms such as Amazon Bedrock
- Experience designing evaluation frameworks for AI applications, including benchmark datasets, regression testing, metrics, and model-based evaluation techniques
- Understanding of AI security, governance, reliability risks, and responsible deployment practices
- Strong communication and stakeholder management skills
- Demonstrated ability to solve complex and ambiguous technical challenges with minimal supervision
Desired Skills & Experience
- Insurance industry experience, particularly within underwriting or claims operations
- Experience deploying AI solutions in AWS environments
- Knowledge of retrieval-augmented generation (RAG), context engineering, and structured outputs
- Experience working with Model Context Protocol (MCP) integrations
- Background in containerization and CI/CD implementation
- Experience mentoring engineers and influencing engineering standards across teams
- Experience working in highly regulated industries
What You Will Be Doing
Daily Responsibilities - 100% Hands-On Engineering
- Design, develop, and deploy AI agents and multi-step agent workflows that support complex insurance operations
- Build reusable frameworks, services, and engineering patterns to accelerate future AI initiatives
- Convert business and architectural concepts into scalable production solutions
- Evaluate when to use deterministic logic, traditional machine learning, generative AI, or agentic architectures based on cost, risk, and reliability considerations
- Develop backend agent services using modern frameworks such as FastAPI
- Integrate AI solutions with enterprise applications, APIs, databases, and external tools
- Establish testing strategies, evaluation datasets, and quality metrics for agent performance
- Implement observability, audit logging, monitoring, cost management, and operational guardrails
- Build lightweight prototypes and proof-of-concept applications to validate business value
- Collaborate with technical and business stakeholders to measure and communicate solution effectiveness
- Support cloud deployment, containerization, and continuous delivery initiatives
The Offer
- Base Salary: $140,000 - $191,000
- Potential eligibility for annual bonus and performance-based incentives
- Hybrid work schedule with 3 days onsite weekly in the Boston area
- Opportunity to build enterprise-scale AI solutions with measurable business impact
- Career development, learning, and advancement opportunities
- Collaborative environment working at the intersection of AI, software engineering, and business transformation
You will receive the following benefits
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k) with company match and profit-sharing opportunities
- Life Insurance
- Short-Term Disability Coverage
- Long-Term Disability Coverage
- Health Savings Account (HSA)
- Flexible Spending Account (FSA)
- Employee wellness programs
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
