Role and Responsibilities
- Lead the development of agentic systems that are more than just wrappers for LLM modelssystems that actively drive business outcomes with human-in-the-loop oversight
- Design and develop Multi-Agent Ecosystems where multiple specialized agents collaborate to solve complex problems using frameworks like LangGraph, or AutoGen
- Define "Agentic Thinking" and instill a mindset in the team where we build for Goals, not just Tasks.
- Lead the adoption of standardized protocols to connect AI assistants to our internal data and tools securely.
- Take ownership of full stack application development and oversee the end-to-end SDLC of AI-native applications.
- Incorporate human-in-the-loop design by developing UX/UI patterns wherein agents integrate seamlessly with outlined processes, operate autonomously up to a specified confidence threshold, and then gracefully hand off tasks for human approval
- Develop robust evaluation & Observability metrices to measure Agent Success Rate, Steps-to-Solution, and Cost-per-Task.
- Work closely with the business leads / designates to define workflows and be assertive enough to ensure we use the right tools for right outcomes instead of one size fits all kind of approach
- Mentor and develop a team of AI engineers who understand vector stores, RAG, and prompt orchestration.
Essential skills required
- 7+ Years of Experience in software engineering, with at least 4-5 years focused on AI/ML and 1-2 years specifically in Generative AI/Agentic workflows.
- Hands-on expertise with LangGraph, CrewAI, AutoGen, or LlamaIndex for multi-step reasoning and orchestration.
- Deep understanding of RAG (Retrieval-Augmented Generation), context engineering, and long-term memory design for agents.
- Robust command of Python, vector databases (Pinecone, Weaviate, etc.), and cloud AI platforms (Azure AI Foundry)
- Experience with evaluation frameworks like LangSmith or Arize Phoenix to mon
📌 Gen AI- Lead/Manager (Bengaluru)
🏢 KPMG India
📍 Bengaluru
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