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Lead AI Engineer

  • Source: Naukri
  • Epam Systems
  • On-site
  • Bengaluru
  • Full-Time
  • Senior

Job Description

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 modern 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.

Skills

  • Python
  • pyspark
  • PyTorch
  • Tensorflow
  • LangChain
  • LangGraph
  • processing-js
  • microsoft-azure

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