GEN AI

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.