Agentic AI/ML Engineer

The Hartford • Frisco, TX

1d • Hybrid

About The Position

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. About Us: The Hartford is on a mission to create trustworthy, reliable, and transparent AIML systems, changing insurance and underwriting for good. We are driven by a strong determination to create a meaningful impact and take pride in being an insurance company that extends far beyond the realms of policies and coverages. When you choose to be a part of our team, you open the door to endless opportunities for personal and professional growth, as well as the chance to empower others in reaching their aspirations. Overview of the Role: We believe Generative AI is another tool in our arsenal and modern application needs a solution that unifies both traditional ML and LLM powered cognitive AI into one continuum. Our technology, platform, people and process fully embrace this strategy. We are seeking an junior AIML Engineer who will be responsible for building and testing production-grade AI systems. This is a hands-on role, requiring experience in software and/or AI engineering, understanding of Generative/Agentic AI concepts and cloud computing exposure. Someone who is an engineer at heart will fit into this role easily. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT, Charlotte, NC, Columbus, OH, Frisco, TX, Chicago, IL) will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise

Requirements

• Strong technical knowledge on AIML and software engineering .
• Able to communicate effectively with both technical and non-technical teams.
• Strong planning, and execution skills.
• Self motivated.
• Ability to understand and align deliverables based on customer requirements.
• Innovative, curious, and focused on continuous learning, able to turn new ideas into practical solutions.
• Result oriented, demonstrating ownership, accountability, and urgency in delivering business outcomes.
• A bachelor’s or master’s degree in computer science, Software Engineering, Data Science, or a closely related discipline.
• 3+ years of experience in Machine Learning, Software Engineering or related field, with at least 1+ years focused on AI or ML
• 1+ years of experience in GenAI/Agentic AI, RAG, semantic search, embedding models and LLMs.
• Strong programming skills in Python.
• Experience with AI Agent frameworks such as ADK, LangChain, LangGraph, and/or CrewAI.
• Hands-on experience in GenAI tools and services on Google cloud platform (Vertex AI/Gemini Ent).
• Experience with Agile development methodologies, including SAFe.
• Candidate must be authorized to work in the US without company sponsorship.
• The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Nice To Haves

• Experience with NodeJS , JavaScript, Typescript, React is a plus.
• Understanding of data structures, NoSQL and RDBMS is a plus.

Responsibilities

• Develop and test AI/ML solutions for multiple use cases spanning underwriting, claims, operations, and/or corporate functions.
• Collaborate with Data Science Practitioners, LOB IT leads, EA, Data, and AI architects to develop solutions and integrate into operational processes and systems supporting various functions.
• Build and maintain scalable Agentic AI systems.
• Build full stack AI Agents with latest Agentic AI/UI frameworks & standards. Such as A2A, AAIF, A2UI, Agent skills, and MCP.
• Build reusable components, APIs, SDKs, Agents, MCP tools for the enterprise.
• Apply context engineering and prompt tuning techniques.
• Develop advanced RAG systems, with hybrid search and metadata filtering.
• Instrument AI observability using OpenTelemetry (OTel) tooling.
• Build scalable, fault-tolerant solutions on AWS and/or GCP in a multi cloud ecosystem.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level