Agentic Ai Engineer - Boston, Ma

Boston

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.