GEN AI
- Source: Naukri
- Tata Consultancy Services
- On-site
- Bengaluru
- Full-Time
- Mid level
Job Description
Role** Generative AI Platform Engineer (LLM Ops, Python, Vector DB, RAG)
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
(Ideally should not be
more than 3-5) • LLM Ops & Agent Orchestration: Experience with prompt engineering, prompt/version management, model routing, and evaluation using agentic and orchestration frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK), and other agent-based LLM frameworks. • 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.
Skills
- Python
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