[Hiring] Lead AI Engineer @EPAM

Role Description

We're seeking a talented, innovation-focused Lead Data Engineer to join our team and drive the creation of state-of-the-art Generative AI solutions. This role is perfect for someone who is enthusiastic about artificial intelligence and skilled at building systems that produce measurable business results. You'll collaborate with a dynamic team to build and launch AI-powered technologies that solve real-world problems, all within a supportive, collaborative, and future-oriented workplace. In this senior position, your role will extend beyond coding; you'll:

• Design and build scalable AI applications, including chatbots, search platforms, and autonomous agent workflows.
• Work closely with business stakeholders to identify their pain points and propose effective, LLM-powered solutions.
• Build data pipelines, develop intelligent prompt strategies, and construct testing frameworks that keep AI models accurate, safe, and cost-efficient.
• Set coding standards, conduct code reviews, and guide junior developers on AI best practices.
• Conduct rapid experiments, develop prototypes to evaluate new models, and keep up with the latest AI research and tools.

Qualifications

• 5+ years as a Senior Software Engineer building production-grade AI, Machine Learning, or LLM-based solutions.
• 1+ years in a leadership capacity.
• Strong Python skills, particularly with web frameworks like FastAPI, plus knowledge of NLP concepts like semantic similarity, tokenization, and text classification.
• Practical experience with modern AI approaches, especially RAG (Retrieval-Augmented Generation) and AI Agents.
• Knowledge of leading LLM APIs (OpenAI, Anthropic, Bedrock) and tools like LangGraph or LlamaIndex.
• Track record deploying AI applications at scale, controlling cloud expenses, and assessing model performance through retrieval metrics or LLM-based evaluation.
• Ability to rapidly build user interfaces using tools such as Streamlit or Gradio.
• Skill in communicating complex technical concepts clearly to both technical teams and non-technical clients.
• Solid English communication abilities (B2 level or above).

Requirements

• Background in TypeScript development.
• Hands-on experience integrating AI into the SDLC using tools like GitHub Copilot or Cursor for writing, testing, and reviewing code.
• Proficiency with AWS or Azure, particularly Azure OpenAI or AWS Bedrock.
• Experience with Databricks tools (MLflow, Agent Bricks, etc.) for managing data or model workflows.
• Understanding of advanced search and retrieval technologies (vector databases, semantic search, rerankers), along with familiarity with new open-source protocols such as Model Context Protocol (MCP) or LLM monitoring platforms like LangSmith or Arize Phoenix.