total 8-12 yrs , Relevant 4+ yrs

- Develop and evaluate AI/GenAI/AgenticAI prototypes using tools like Copilot Studio, AI Foundry and Copilot Analyst Agent, Mosiac AI, Genie, AgentBricks, MLflow with a focus on quick wins and enterprise integration.
- Build and tune Retrieval-Augmented Generation (RAG) systems, including embedding model selection, prompt engineering, and traceable evaluation.
- Design and deploy basic AI agents using frameworks such as LangChain, AutoGen, and smolagents.
- Communicate complex AI concepts clearly to business stakeholders and cross-functional teams.
- Collaborate on Shell-E platform enhancements and work within its current limitations.
- Deploy models and applications using Azure OpenAI, Azure AI Foundry, Databricks Mosaic Gateway, and Docker.
- Follow DevOps best practices including CI/CD pipelines, testing, linting, and GitHub workflows.
- Write modular, reusable code using OOP design patterns in Python (Pydantic, PyTorch, etc.).
- Operate in agile teams and contribute to sprint planning, reviews, and retrospectives.
- Deliver hands on GenAI/AgenticAI systems used directly by commercial teams within Trading & Supply, taking solutions from prototype to production




- Apply engineering skills (emphasis on Databricks) and research skills across experimentation, rapid prototyping, and iterative delivery. Someone who puts emphasis on reproducibility and open source, manages large-scale text and structured datasets on Databricks.
- Build AI capability, manage stakeholders and communicate effectively to ensure alignment between business needs and AI solutions, and a quick understanding of commercial operations that happen in T&S;
- Design and run evaluation and testing frameworks for GenAI systems, including benchmarking, reproducibility checks, and structured model assessments
- Build solutions using Databricks infrastructure, Genie, MLflow (deployment and tracing and evaluations), LangChain, and LangGraph, and integrate them into scalable AI workflows and architectures
- Contribute to system planning, architectural design, and structured testing to ensure long term reliability, performance, and maintainability
- Preferably also someone who can set the building blocks and lead building out the backlog

📌 AI Engineer -Technical consultant-AI Integration (Bengaluru)
🏢 iBridge
📍 Bengaluru