ai engineer

EPAM provides enterprise software products, open source solutions and accelerators, including AI-focused solutions for reinsurance platforms across Claims, Treaty and Facultative lines.

• Maintain, refactor and extend AI applications and supporting services in production;
• Build agentic-friendly software components and APIs leveraged by LLM-based agents;
• Design AI workflows integrating models, prompts, tools, enterprise data and business logic;
• Validate model behavior and outputs from functional and business perspectives;
• Design and maintain evaluation frameworks for AI and LLM systems, including automated and human-in-the-loop evaluations;
• Implement quality checks and grounding mechanisms for agent behaviors;
• Ensure system performance objectives, including reliability, scalability, latency optimization and cost efficiency;
• Collaborate on bringing new agentic solutions into production environments;
• Utilize agentic coding harnesses to guide AI agents, review code outputs and maintain standards.

• Strong software engineering skills in Python, TypeScript or Java/Kotlin;
• Experience with clean code principles, automated testing and CI/CD pipelines;
• Expertise in API, service and integration engineering and cloud-native development;
• Familiarity with LLM application design patterns, including retrieval-augmented generation and tool/function calling;
• Experience with agentic coding harnesses such as Claude Code and Linux/cloud environments;
• Ability to improve and maintain existing codebases effectively;
• Exposure to data science and evaluation methods for AI/ML models;
• Fluent English;
• Nice to have: hands-on experience in agentic or LLM application development, including agent loops, evaluations and custom tool design; familiarity with Palantir Foundry/AIP; knowledge of insurance or reinsurance domains; experience with cloud AI services such as Azure AI and AWS AI services.

• No conditions specified