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EPAM Systems is seeking a hands-on Lead AI Engineer with Node.js and TypeScript expertise to build an AI-powered Risk Map solution. You will work with the Solution Architect and an engineering team to reduce manual effort per assessment and deliver AI-enabled capabilities using Claude Code, Codex, and similar tools.
You will lead a small team, improve AI workflows, and ensure accuracy and reliability of AI outputs while collaborating with senior architects.
We are looking for a hands-on Lead AI Engineer with Node.js and TypeScript expertise to help develop an AI-powered Risk Map solution. Working closely with the Solution Architect and an engineering team, you will create an AI-enabled risk assessment system, helping decrease manual effort required from ~30 hours down to ~8 hours per assessment. The scope of the project will require advanced AI-enabled engineering techniques (i.e., spec-driven development) and modern tools (Claude Code, Codex, etc.) to deliver on time and within budget. This role is ideal for an engineer who has experience with real production delivery with AI tools and enjoys working with LLMs, Prompt Engineering, and enterprise AI applications.
5+ years of experience as an AI Engineer or Software Engineer working with AI solutions Proficiency in Node.js and TypeScript Expertise in LLM and Generative AI Practical experience with Prompt Engineering Experience working with Claude or similar enterprise LLM platforms Familiarity with Claude Skills or similar reusable AI capability frameworks Understanding of AI evaluation, prompt optimization, and AI quality improvement Strong analytical and problem-solving skills Good communication and collaboration skills Proficiency in English at a B2+ level
Experience with AWS cloud services and Amazon Bedrock Experience integrating AI solutions into enterprise applications Experience with AI guardrails, structured outputs, and evaluation techniques Background in insurance, risk management, financial services, or enterprise automation