Agentic AI Engineer for Insurance Automation & Scale

EPAM Systems

United States

On-site

USD 140,000 - 210,000

Full time

3 days ago
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Job summary

EPAM Systems is seeking a seasoned AI/ML engineer to join a global engineering team focused on insurance technology. You will design and deploy production-grade Agentic AI systems powered by LLMs, RAG, and document intelligence, enabling smarter, faster business decisions at scale.

You will own the end-to-end AI product lifecycle, from ideation to deployment and monitoring, collaborating with brokers and underwriters to translate challenges into scalable solutions.

Qualifications

  • 5 to 8+ years of experience in Software Engineering, AI/ML, or related domains.
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.
  • Strong proficiency in Python with proven experience building and delivering AI-powered products end to end, from concept through to production deployment.

Responsibilities

  • Design, develop, and deploy production-grade Agentic AI solutions that automate complex insurance workflows, reducing turnaround times and increasing operational productivity.
  • Build AI-powered applications leveraging LLMs, RAG, document processing, information extraction, classification, and agent-based architectures at enterprise scale.
  • Own the end-to-end AI product lifecycle, from ideation and rapid prototyping through to deployment, monitoring, and continuous performance improvement.
  • Develop robust AI evaluation frameworks encompassing testing, monitoring, performance measurement, and hallucination detection to ensure production-level reliability.
  • Collaborate directly with brokers, underwriters, and operations teams to identify high-impact AI adoption opportunities and translate business challenges into scalable solutions.
  • Mentor engineers, champion modern AI development best practices, and research emerging technologies to continuously advance the intelligence of the platform.

Skills

Python
AI/ML
LLMs
RAG
Information extraction
Document understanding
Classification models
Agent-based workflows
Cloud platforms
Docker
CI/CD
Observability
API design
System design
Full-stack development
TypeScript
Node.js

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker
CI/CD pipelines
Cloud platforms
Kubernetes

Job description

EPAM Systems is seeking a seasoned AI/ML engineer to join a global engineering team focused on insurance technology. You will design and deploy production-grade Agentic AI systems powered by LLMs, RAG, and document intelligence, enabling smarter, faster business decisions at scale.

You will own the end-to-end AI product lifecycle, from ideation to deployment and monitoring, collaborating with brokers and underwriters to translate challenges into scalable solutions.

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