ai engineer

EPAM provides digital platform engineering and software development services, focusing on complex business transformation and innovative technology solutions for global enterprises.

• Build and operationalize machine-learning models for document processing;
• Design and deploy AI solutions to extract insights from complex legal documents using Generative AI;
• Develop and implement Agentic AI solutions with LLM-based planning, reasoning, and multi-agent workflows;
• Build AI agents capable of executing tasks across enterprise systems and knowledge sources;
• Collaborate with product owners, architects, and business stakeholders to define AI-driven solutions.

• 5+ Years of experience in AI/ML engineering roles;
• Proficiency in Python and PySpark for data pipelining and ingestion;
• Strong understanding of data engineering patterns for large-scale pipelines;
• Experience with LLM-powered applications and Agentic AI architectures;
• Familiarity with RAG solutions, prompt engineering, and AI testing methodologies;
• Knowledge of LLM deployment, governance, and responsible AI practices;
• Sound understanding of ML, deep learning, and MLOps principles;
• Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, and LLM orchestration (LangChain, LangGraph, or Microsoft Agent Framework);
• Nice to have: Expertise in Generative AI or NLP, experience with vector databases and semantic-search technologies, familiarity with Azure AI Foundry and/or Microsoft Agent Framework, knowledge of insurance or reinsurance domain, exposure to production-grade AI deployments with monitoring and maintenance.

• Relocation support is available.