Lead AI Engineer

We are looking for a Lead AI Engineer to design and deliver AI solutions, including chatbots, Q&A systems, and workflow systems for agents.

This position requires staying informed on LLM advancements and driving innovation in AI projects. Join us to expand your expertise in AI engineering and create impactful solutions tailored to client needs.

Responsibilities

• Design AI applications such as chatbots, Q&A platforms, and agent workflows
• Collaborate with clients to identify needs, opportunities, and recommend LLM-based solutions
• Develop data pipelines, prompt strategies, and datasets to support effective AI models
• Evaluate AI systems to ensure accuracy, security, scalability, and compliance with industry standards
• Research and validate technical feasibility while demonstrating business value
• Stay informed about LLM technologies, frameworks, and methodologies to improve solutions

Requirements

• Proficiency in Python and experience with web frameworks like FastAPI
• Background in leading and mentoring engineering teams
• Understanding of AI development lifecycles
• Flexibility to use rapid UI prototyping tools like Streamlit or Gradio
• Familiarity with LLM platforms and APIs, such as OpenAI, Anthropic, Amazon Bedrock, and Gemini, along with frameworks like LangGraph and LlamaIndex
• Knowledge of advanced AI integration patterns like RAG and Agents
• Skills in deploying AI solutions at scale with a focus on performance and cost-efficiency
• Experience assessing generative AI quality using retrieval, classification, or LLM-based metrics
• Proven background in AI engineering and delivering machine learning-based solutions
• Competency in problem-solving with strong attention to detail
• Strong written and verbal English communication skills (B2+)

Nice to have

• Background in designing experiments and conducting A/B testing to optimize models
• Understanding of retrieval systems, vector search, and ranking algorithms
• Familiarity with protocols like MCP, A2A, and ACP
• Experience deploying AI solutions to cloud platforms such as Azure OpenAI, Amazon Bedrock, or GCP Vertex AI or leveraging on-premise options like vLLM
• Background in working with enterprise AI platforms such as AWS AgentCore, Databricks AgentBricks, or Azure AI Foundry
• Skills in using observability and monitoring frameworks and tools

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well-being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee, and snacks
  • Well-being events
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft's Software Assurance Home Use Program (HUP)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.