Job Description
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 Fast API/Flask, async IO, typing, packaging; clean code & SOLID principles. · MLOps/Platform: Docker, Kubernetes, Git, CI/CD (Jenkins/Git Hub Actions/Azure Dev Ops), observability (logs/metrics/traces). · APIs: Design/consume REST APIs, Open API/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 Ops—including observability, evaluation, and cost/performance optimization—on 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 Open AI, Azure Open AI, Anthropic, Cohere, local models (Llama, Mistral) and serving frameworks (v LLM/Triton).
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 Fast API/Flask, async IO, typing, packaging; clean code & SOLID principles. · MLOps/Platform: Docker, Kubernetes, Git, CI/CD (Jenkins/Git Hub Actions/Azure Dev Ops), observability (logs/metrics/traces). · APIs: Design/consume REST APIs, Open API/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 Ops—including observability, evaluation, and cost/performance optimization—on 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 Open AI, Azure Open AI, Anthropic, Cohere, local models (Llama, Mistral) and serving frameworks (v LLM/Triton).
Apply for this Position
Ready to join ? Click the button below to submit your application.
Submit Application