Job Description: Manager – Generative AI / Agentic AI & MLOps
Location : Gurugram - On Site
Reports To : SVP – Data Science / AI
Role Purpose :
This role is responsible for designing, building, and deploying end-to-end Generative AI and Agentic AI systems, with a robust focus on local LLM deployment, secure enterprise Gen AI applications, and scalable MLOps pipelines
. The position requires expertise in
: Local RAG (Retrieval-Augmented Generation) pipeline s Agentic AI frameworks (multi-step reasoning systems )Private LLM hosting and optimizatio n Robust MLOps architecture (Kafka, Kubernetes, Airflow, CI/CD )
Success in this role means delivering production-grade Gen AI systems that are scalable, secure, cost-efficient, and deliver measurable business impac
t.
Key Result Areas & Responsibilities
: 1. Gen AI & Agentic AI Development (3
5%)Design and build end-to-end Gen AI applications from scra tch Develop Agentic AI systems using frameworks li ke: Lang Chain, Llama Index, Lang Gr aph Auto Gen, Crew AI,



Semantic Ker nel Implement multi-agent workflows for decision-making and automat ion Optimize prompt engineering, memory management, tool usage, and reasoning fl ows Outcome: Production-grade Gen AI and Agentic AI applications delivering automation and intellige
nce
2. Local LLM Deployment & Optimization (
20%)Deploy and manage local/private LLMs (on-prem or VPC environme nts)Work with models such as: LLa MA, Mistral, Mixtral, Falcon, Gemma, QWen Use inference framewo rks:v LLM, Ollama, Hugging Face Transformers, Tensor RT -LLMOptimize for: Latency, throughput, and cost Quantization and model compression (GGUF, INT 4/8)Outcome: Secure, low-latency, cost-efficient LLM deploym
ents
3. RAG Pipelines & Knowledge Systems
(20%)Design and implement advanced RAG pipel ines: Document ingestion, chunking, embedding, retrieval, re-ranking, Grou nding Build local knowledge bases u sing: Vector DBs: FAISS, Chroma, Weaviate, Pinecone (optional hybrid), Q drant Imple ment: Hybrid s

📌 Manager (Gurugram)
🏢 Home Credit India
📍 Gurugram