[Hiring] Senior/Lead AI Engineer @EPAM Systems

Role Description

We are looking for a Senior/Lead AI Engineer to design, build, and scale end-to-end AI applications — including chatbots, agent workflows, and LLM-driven solutions. You will work directly with clients, drive technical decisions, and deliver production-grade AI systems that create real business impact.

• Design and deploy AI/LLM applications at scale (RAG, agentic systems, Q&A platforms)
• Architect solutions using agentic frameworks, integrating with vector databases and advanced memory architectures
• Build APIs, data pipelines, and enterprise integrations (CRM, ERP, cloud platforms)
• Evaluate and refine AI performance using LLM-based evaluation, agent metrics, and A/B testing
• Ensure performance, security, observability, and cost-efficiency across deployed solutions
• Conduct research, rapid prototyping, and experimentation to validate feasibility and business value
• Stay current with emerging AI protocols (MCP, A2A, ACP) and evolving LLM technologies

Qualifications

• 5+ years in AI/ML engineering with production-grade delivery experience
• Strong proficiency in at least one modern programming language and web frameworks (Python, Java, Scala)
• Hands-on experience with major LLM platforms, agentic frameworks, and advanced integration patterns (RAG, agent orchestration, tool calling)
• Experience with vector databases, semantic/hybrid search, and retrieval/ranking systems
• Knowledge of MLOps/AIOps practices, monitoring, and security (including prompt injection prevention)
• Strong communication skills — able to translate complex AI concepts for both technical and non-technical audiences
• Ability to work independently, lead technical initiatives, and collaborate with cross-functional teams

Requirements

• Languages: Python, Java, C#, Go
• Web Frameworks: FastAPI, Streamlit, Gradio, Flask, Spring Boot, ASP.NET
• LLM Platforms: OpenAI, Anthropic, Amazon Bedrock, Gemini
• Agentic Frameworks: LangChain, LangGraph, Semantic Kernel, LlamaIndex, Strands Agents
• Vector Databases: Qdrant, FAISS, Chroma, Pinecone, Weaviate
• Cloud AI Platforms: Azure OpenAI, Amazon Bedrock, GCP Vertex AI
• Enterprise AI: AWS AgentCore, Databricks AgentBricks, Google Agents Space, Azure AI Foundry
• On-Premise: vLLM
• Protocols: MCP, A2A, ACP
• MLOps/AIOps, observability, and security/guardrail tools for AI applications