Lead AI Engineer 4D

Overview

Support rapid prototyping, discovery and proof-of-concept delivery of AI-powered solutions across Genpact's global Supply Chain and Manufacturing functions, working alongside senior engineers.

What you'll do

• Participate in site visits and shadow frontline teams (Logistics, Manufacturing, Procurement) to understand operational bottlenecks first-hand.
• Support senior engineers in translating user feedback and real-world problems into structured user stories, functional specs and process flows.
• Maintain and update the team's agile backlog, participate in daily standups and assist in coordinating sprint planning.
• Write clean, documented, functional Python code to build, refine and test AI-enabled prototypes.
• Support construction and tuning of Retrieval-Augmented Generation (RAG) pipelines, semantic search indices and multi-agent system workflows under senior guidance.
• Iterate on prototypes based on feedback from factory floor workers and warehouse operators.
• Apply enterprise software development standards so prototype code is structured for production handoff.
• Assist in building and configuring APIs to connect AI applications to shop floor platforms and document repositories.
• Clean, structure and prepare unstructured documents, telemetry feeds and SQL database exports for ingestion into AI systems.

What you'll need

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related technical discipline.
• Professional experience in software engineering, data engineering, or digital technology delivery.
• Robust baseline experience writing Python (Pandas, NumPy, requests).
• Strong understanding of software engineering fundamentals (OOP, REST APIs).
• Hands-on experience using LLM APIs (OpenAI, Gemini) and basic RAG architectures, which may come from academic projects, bootcamps or personal portfolios.
• Proficiency with SQL and comfort querying relational databases.
• Excellent communication skills with the confidence to converse with factory operators.
• Willingness to travel occasionally to manufacturing facilities.

Nice to have

• Basic experience with AI frameworks such as LangChain, LlamaIndex or LangGraph.
• Familiarity with cloud platforms (e.g., Google Cloud Platform/Vertex AI, Microsoft Azure).
• Familiarity with version control (Git/GitHub) and containerization (Docker).
• Academic background or brief exposure to Supply Chain, Manufacturing or Logistics environments.

Details

• Location: 1401-G-India, Floor 1 to 12, Hafeezpet Phoenix, Hyderabad.
• Job type: Regular. Work shift: Flex Time (India).
• Office work; occasional travel to manufacturing facilities.