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 modern 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.
