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 up-to-date 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.

📌 Lead AI Engineer (Bengaluru)
🏢 EPAM Systems
📍 Bengaluru