Agentic Ai Engineer - Boston, Ma

Kelly Services; Boston (MA); Hybrid; USD 140,000 - 191,000; Full time

Benefits offered by this job

Medical Insurance

Dental Benefits

Vision Benefits

PTO

401(k) with company match and profit‑e

Life Insurance

Short-Term Disability

Long-Term Disability

Health Savings Account (HSA)

Flexible Spending Account (FSA)

Employee wellness programs

Job summary

Motion Recruitment Partners in Boston is seeking an Agentic AI Engineer to design, build, and deploy production-grade AI agents for complex insurance workflows, leveraging LLMs and cloud-native development.

You will mix hands-on engineering with collaboration across architects, product stakeholders, and business experts to deliver scalable AI solutions that improve efficiency, decision-making, and customer outcomes. This hybrid role requires 3 days onsite weekly in the Greater Boston area.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field with 7+ years of software engineering, ML, or data engineering experience, or a Master's with 5+ years of relevant experience
• 2+ years hands-on experience building and deploying LLM-based applications in production
• Proven experience developing agentic AI solutions 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

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

Skills

Python development

LLM / AI agents

API integration

Cloud-native development

Communication

Education

Bachelor's in CS/Engineering

7+ years software/ML/data eng exp or MS +5 yrs

Tools

LangGraph

AWS

Git / version control

Containerization

Job description

$140000 - $190000

Job DescriptionA 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.

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.