Experience: 6-12 Years

Are you an experienced GenAI/Agentic AI professional with a strong track record of building and deploying production-grade AI solutions? We’re looking for a Senior GenAI / Agentic AI Engineer with strong hands-on expertise in developing scalable, real-world AI solutions and a passion for building intelligent systems using the latest advancements in GenAI and Agentic AI.

Job Responsibilities-

Design, develop, and deploy production-grade GenAI and Agentic AI solutions using LLMs and up-to-date agentic frameworks.
Build and optimize RAG pipelines, including document processing, retrieval strategies, vector databases, and context management.
Design and implement multi-agent architectures with capabilities such as tool use, memory, planning, guardrails, and observability.
Develop scalable backend services and APIs using Python, FastAPI, and asynchronous programming, while integrating AI solutions with enterprise platforms and systems.
Evaluate, monitor, and improve LLM performance through prompt engineering, LLM evaluations,



HITL workflows, and secure cloud-based deployment practices.

Required Skills-

Production-grade LLM solutions – OpenAI, Anthropic, Azure OpenAI
Agentic AI frameworks – LangGraph, LangChain, AutoGen, CrewAI
Python, FastAPI & async programming
RAG pipelines and vector databases – FAISS, Pinecone, pgvector
Prompt engineering, LLM evaluations & HITL workflows
Azure / AWS / GCP cloud deployment
Multi-agent architecture – tool use, memory, planning, guardrails & observability
Enterprise integrations – Graph API, Power Automate, Salesforce, etc.
Secure credential management, managed identity & enterprise integration patterns.

Qualifications-

Bachelor’s/ Master’s in CS/IT or equivalent practical experience.
We’re looking for professionals who have delivered real-world, production-grade GenAI/Agentic AI solutions — not just POCs.

📌 Senior GenAI (Mumbai)
🏢 InspironLabs
📍 Mumbai