[Hiring] Lead AI Engineer @EPAM Systems

Role Description

We are looking for a skilled, innovation-driven Lead AI Engineer to join our team and spearhead the development of cutting-edge Generative AI solutions. If you're passionate about artificial intelligence and adept at building systems that deliver measurable business impact, this opportunity is ideal for you. You will work with a dynamic group of professionals to create and deploy AI-driven technologies that tackle real-world challenges — all within a highly collaborative, supportive, and forward-focused environment.

As a technical leader, you won't just write code; you will:

• Shape our AI technical roadmap
• Architect complex enterprise-grade systems
• Act as a trusted advisor to our clients
• Mentor and grow a high-performing engineering team

If you love Python, Natural Language Processing (NLP), and driving innovation at the intersection of AI strategy and software craftsmanship, we want to hear from you!

Qualifications

• 5+ years of experience in a Lead, Principal, or Senior AI/Software Engineering role
• At least 1 year of relevant leadership experience
• Master-level proficiency in Python (specifically FastAPI or equivalent web frameworks)
• Strong foundation in core NLP concepts (semantic similarity, tokenization, NER, text classification)
• Expertise in modern Generative AI design patterns, particularly RAG (Retrieval-Augmented Generation)
• Production experience with major LLM APIs (OpenAI, Anthropic, Bedrock, Gemini)
• Experience with framework orchestration tools such as LangGraph or LlamaIndex
• Background in optimizing AI applications for performance, security, cloud costs, and system evaluation
• Capability to quickly direct and build intuitive UI/UX prototypes using Streamlit, Gradio, or equivalent
• Outstanding leadership and communication skills
• Strong English communication skills (B2 level or higher)

Requirements

• Drive technical vision and architecture by leading the design and implementation of highly scalable, robust enterprise AI applications
• Partner closely with clients and business stakeholders to translate business goals into technical roadmaps
• Establish engineering standards by setting the benchmark for code quality, architectural patterns, and robust data pipelines
• Foster a culture of learning and high performance through design reviews and active mentorship
• Direct R&D and innovation by guiding research on emerging models and standardizing tools and frameworks

Nice to have

• Full-stack capabilities with TypeScript
• Experience incorporating AI into the SDLC to boost team efficiency using tools like GitHub Copilot
• Cloud architecture expertise in AWS or Azure
• Familiarity with Databricks for orchestrating data pipelines and model lifecycles
• Knowledge of advanced search/retrieval systems
• Familiarity with emerging open-source protocols and LLM monitoring tools