Position Details:-
Experience: 6-9 Years
Work Location: Gurugram (Hybrid)
Mode: Full Time Permanent
Job Description:
We are hiring mid-to-senior level Agentic / Generative AI Engineers (6–9 years’ experience) to design and deliver production-grade LLM-powered and agentic systems. This role is ideal for engineers with a strong Data Engineering / Data Science foundation who have transitioned into hands-on GenAI delivery—building real-world solutions such as RAG based assistants, document intelligence platforms, and agent-driven workflows. You will collaborate across data, platform, and business teams to build secure, scalable, and measurable AI applications for enterprise use cases.
Key Responsibilities :
Design and develop LLM-powered applications using agentic patterns (single/multi agent) for business use cases
Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis)
Implement prompt engineering and orchestration techniques (prompt chaining, tool/function calling, structured outputs)
Develop production-grade APIs and services (FastAPI/Flask/Streamlit) for GenAI applications
Integrate LLM solutions with enterprise systems, data platforms, and workflows Apply guardrails and evaluation frameworks to improve response quality, reduce hallucinations, and ensure responsible AI usage
Collaborate with Data Engineering and MLOps teams for data pipelines, deployment, monitoring, and scaling
Contribute to reusable components, documentation, and engineering best practices
Experience & Core Requirements (Must-Have)
Overall Experience
6–9 years total experience
1–3+ years in hands-on GenAI / LLM application development (production use cases)
LLM / GenAI & Agentic Engineering
Strong hands-on experience with:
o LLMs (Claude, OpenAI, etc.)
o RAG pipelines and retrieval optimisation
o GPT + Agentic AI implementation experience
Experience with:
o LangChain, LangGraph, or similar frameworks
o Agent orchestration and tool-calling architectures
Deep understanding of:
LLM limitations, evaluation, and optimisation strategies
Pay: ₹2,000,000.00 - ₹3,000,000.00 per year
Benefits:
- Health insurance
- Life insurance
- Paid time off
- Provident Fund
Work Location: In person
