Senior GenAI / Agentic AI Engineer
InspironLabs6–12 yrsMumbaiOn-siteDirect career pageEst. 30–50 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy production-grade GenAI and Agentic AI solutions, including multi-agent architectures with tool use, memory, and planning capabilities.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines involving document processing, retrieval strategies, vector databases, and context management.
- Develop scalable backend services and APIs integrating AI solutions with enterprise platforms, while ensuring secure cloud deployment and LLM performance management.
Minimum Requirements
- 6-12 years of experience in production-grade GenAI/Agentic AI engineering delivering real-world solutions (not just POCs).
- Strong hands-on skills with LLMs (OpenAI, Anthropic, Azure OpenAI) and agentic AI frameworks like LangGraph, LangChain, AutoGen, CrewAI.
- Proficient in Python, FastAPI, asynchronous programming, RAG pipelines, vector DBs (FAISS, Pinecone, pgvector), cloud deployment (Azure/AWS/GCP).
- Bachelor’s or Master’s degree in Computer Science, IT, or equivalent practical experience. Location: Bengaluru, Gurugram, or Mumbai.
Ideal Candidate Profile
- Experienced in advanced AI system design including multi-agent architectures with observability and guardrails.
- Proficient in enterprise integration technologies such as Graph API, Power Automate, Salesforce, and secure credential management.
- Demonstrated ability to develop scalable backend services and manage LLM evaluations, prompt engineering, and human-in-the-loop workflows in production environments.