Key responsibilities
Build and operationalize machine-learning models for document processing.
Design and deploy AI solutions that extract insights from complex legal documents using Generative AI.
Design, develop, and deploy Agentic AI solutions using LLMs, tool calling, and multi-agent workflows.
Build intelligent AI agents capable of reasoning, planning, and executing tasks across enterprise systems and knowledge sources.
Leverage agentic AI and Gen AI tooling day-to-day in testing and framework development.
Collaborate with product owners, architects, data engineers, and business stakeholders to translate business problems into AI-driven solutions.

Must-have qualifications & experience
Python + PySpark for data pipelining and ingestion.
Solid grasp of Data Engineering patterns: landing (raw/source), cleansing (core/foundation), building domain entities; experience with large-scale data pipelines and distributed computing.
LLM-powered applications & AI assistants; hands-on Agentic AI architectures (planning, reasoning, tool use, workflow orchestration).
Retrieval-Augmented Generation (RAG) solution implementation.




Prompt engineering, plus evaluation frameworks and AI-application testing methodologies.
LLM deployment, governance, security, and responsible-AI practices.
Solid understanding of machine learning, deep learning, and MLOps practices (build operationalize monitor in production).
Familiarity with contemporary AI/ML frameworks — e.g. PyTorch or TensorFlow — and LLM orchestration frameworks (LangChain / LangGraph / Microsoft Agent Framework).
Hands-on use of coding agents and agentic development daily.
Able to work remotely full time. Customer and project interview required.

Nice-to-have
Generative AI and/or Natural Language Processing experience.
Vector databases and semantic-search technologies.
Microsoft Azure AI Foundry and/or Microsoft Agent Framework.
Insurance / reinsurance domain knowledge.
Production AI deployment with model monitoring/maintenance
Solution-focused, universal mindset; comfortable with high-complexity tasks.

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📌 Lead Ai Engineer Hyderabad
🏢 EPAM Systems
📍 Hyderabad