Agentic Ai Engineer - Boston, Ma

Boston, MA

$140,000–$191,000 Per Year

19 days ago

Job Description

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.

Numbers & Facts

Location	Boston, MA
Salary	$140,000–$191,000 Per Year

Skills

Amazon Web Services (AWS)unmatched
Application Frameworkunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Artificial Intelligence (AI) Programming Languagesunmatched
Automationunmatched
Benchmarkingunmatched
Business Architectureunmatched
Business Transformationunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cost Controlunmatched
Data Setsunmatched
Debugging Skillsunmatched
Engineeringunmatched
Enterprise Applicationsunmatched
Financial Servicesunmatched
Flexible Spending Accountsunmatched
Health Insuranceunmatched
Information Retrievalunmatched
Insuranceunmatched
Life Insuranceunmatched
MCP - Microsoft Certified Professionalunmatched
Machine Learningunmatched
Mentoringunmatched
Modeling Languagesunmatched
Operational Improvementunmatched
Operational Strategyunmatched
Operational Supportunmatched
Performance Metricsunmatched
Problem Solving Skillsunmatched
Proof of Conceptunmatched
Prototypingunmatched
Python Programming/Scripting Languageunmatched
Quality Metricsunmatched
Regression Testingunmatched
Riskunmatched
Software Designunmatched
Software Engineeringunmatched
Source Code/Configuration Management (SCM)unmatched
Strategic Analysisunmatched
Strategic Planningunmatched
Team Playerunmatched
Test Automationunmatched
Test Strategyunmatched
Training Data Setsunmatched
Underwritingunmatched

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