Agentic AI Engineer

Quick Facts

• Role: Agentic AI Engineer (Insurance & Agentic Workflows)

• Focus: Hands-on design, development, and deployment of AI agents and agentic workflows

• Work model: Hybrid

Description

Build and scale production-grade AI solutions that automate complex insurance and operational processes using AI agents and multi-step agentic workflows. You will design, develop, and deploy reusable frameworks and components, translating business requirements into scalable, production-ready systems. You’ll also help establish testing, governance, monitoring, and AI engineering best practices.

Responsibilities

• Design, build, and deploy AI agents and multi-step workflows to automate complex business processes

• Develop reusable engineering frameworks, components, and patterns for future AI initiatives

• Build backend services using Python and FastAPI

• Integrate AI agents with enterprise applications, APIs, data platforms, tools, and external services

• Establish testing methodologies, evaluation frameworks, and continuous improvement processes for AI systems

• Implement governance controls, guardrails, human-in-the-loop workflows, monitoring, and audit capabilities

• Prototype rapidly and scale successful solutions into enterprise production environments

• Measure system effectiveness, technical performance, business outcomes, and model quality

• Communicate capabilities, limitations, risks, and recommendations to technical and non-technical stakeholders

Requirements

• Bachelor’s degree in Computer Science/Engineering or related quantitative field with 7+ years relevant experience, or Master’s degree with 5+ years relevant experience

• 2+ years hands-on experience building LLM-based applications

• Experience deploying at least one production agentic AI system used by end users

• Strong Python and software engineering skills

• Experience building and consuming enterprise APIs

• Strong understanding of testing, debugging, version control, and software delivery best practices

• Hands-on experience with agent frameworks/SDKs (LangGraph strongly preferred)

• Experience with model APIs and managed AI platforms (Amazon Bedrock)

• Experience integrating AI applications with enterprise systems, data sources, and APIs

• Experience evaluating LLM applications with testing frameworks, metrics, datasets, and automated assessments

• Understanding of AI security, reliability, governance, and responsible deployment

• Strong communication and stakeholder management skills

• US work authorization without visa sponsorship

Benefits

• Base salary: $140,000–$191,000

• Hybrid work environment

• Medical, dental, and vision insurance

• Flexible paid time off (PTO)

• 401(k) with company matching

• Profit sharing

• Life insurance

• Short-term and long-term disability

• Flexible Spending Account (FSA)

• Health Savings Account (HSA)

• Wellness programs