AI Software Engineer

EPAM Systems; United States; On-site; USD 140,000 - 210,000; Full time

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

Join a global engineering team reimagining insurance technology through intelligent automation. You will design and deploy production-grade Agentic AI systems powered by LLMs, RAG, and document intelligence, transforming how brokers and underwriters operate and enabling smarter, faster business decisions at scale. EPAM is where tech talent thrives building groundbreaking solutions, advancing your skills through world-class learning platforms, and working alongside a global community of problem-solvers to make the future real.

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

Requirements

• 5 to 8+ years of experience in Software Engineering, AI/ML, or related domains, with a 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
• Hands-on experience with Large Language Models, Retrieval-Augmented Generation, information extraction, document understanding, classification models, and agentic AI workflow design
• Solid foundation in cloud platforms, containerization using Docker, CI/CD pipelines, monitoring, observability, and secure data handling within production-grade environments
• Experience with API design, system design, full-stack application development, and working knowledge of TypeScript or Node.js as a complementary skill
• Strong analytical, problem-solving, and communication skills, with the ability to clearly articulate complex AI concepts and trade-offs to non-technical business stakeholders