Generative AI Platform Engineer (LLM Ops, Python, Vector DB, RAG)

TCS Hiring !!.Generative AI Platform Engineer (LLM Ops, Python, Vector DB, RAG)

Please read Job description before Applying

SKILLS: Generative AI Platform Engineer (LLM Ops, Python, Vector DB, RAG)

petencies (Technical/Behavioral Competency)

Must-Have**

(Ideally should not be

more than 3-5) LLM Ops: Experience with prompt engineering, prompt/version management, routing across models, and LLM evaluation. RAG Expertise: Practical experience building and tuning RAG pipelines (chunking strategies, embeddings, retrievers, reranking). Vector DBs: Hands-on with at least one: FAISS, Pinecone, Milvus, Weaviate (index types, parameters, scaling). Python Engineering: Strong Python with FastAPI/Flask, async IO, typing, packaging; clean code & SOLID principles. MLOps/Platform: Docker, Kubernetes, Git, CI/CD (Jenkins/GitHub Actions/Azure DevOps), observability (logs/metrics/traces). APIs: Design/consume REST APIs, OpenAPI/Swagger, pagination, error models, rate limiting. Data Handling: Experience with text preprocessing, embeddings, metadata schemas, and storage (object stores/RDBMS). Build production-grade RAG pipelines, manage vector databases, and own LLM Opsincluding observability, evaluation, and cost/performance optimizationon secure, compliant platforms.

NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:

Name:

Contact Number:

Email ID:

Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)

Current Organization Name:

Total IT Experience-7+ years

Location: TCS: Hyderabad

Current CTC

Expected CTC

Notice period: Immediate Joiner

Whether worked with TCS - Y/N

Retrieval & Ranking: BM25, hybrid search, approximate nearest neighbor configs, rerankers (e.g., cross-encoders). Model Ecosystem: Experience with OpenAI, Azure OpenAI, Anthropic, Cohere, local models (Llama, Mistral) and serving frameworks (vLLM/Triton).