Experience Required

6+ years in AI/ML, data science, or software engineering
3+ years in GenAI, LLM, RAG, conversational AI, or ML productionisation

Key Responsibilities

Build and deploy secure, production‑grade AI agents using GenAI frameworks
Develop APIs with Python (FastAPI, Flask, or similar)
Implement RAG architecture: ingestion, chunking, embeddings, retrieval, ranking, grounding, citations, evaluation
Apply LLM techniques: embeddings, vector search, prompt design, evaluation, hallucination control
Manage MLOps/LLMOps: deployment, monitoring, evaluation, versioning, observability
Ensure security and governance: IAM, PII handling, prompt injection risks, data leakage prevention, approval workflows
Deliver working prototypes and production‑ready services

Must‑Have Skills

Python, FastAPI, REST APIs, async processing
LLM application development and RAG implementation with vector databases
Prompt engineering, tool/function calling, structured outputs
LLM security: prompt injection, guardrails, access control
GCP Vertex AI, Gemini, Cloud Run, GKE, or equivalent




Agent orchestration using ADK, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar
Evaluation frameworks: Vertex AI, Evals, RAGAS, regression tests

Nice to Have (Trainable)

Google Agent Development Kit (ADK)
Gemini Enterprise Agent Platform
Agent observability and tracing
Multi‑agent architecture
Human‑in‑the‑loop approval flows
Enterprise knowledge graph / search integration

Short JD Data Scientists / GenAI Engineers with robust Python, LLM/RAG expertise, and production deployment experience.

Skills: regression tests,prompt injection,ml productionisation,gemini enterprise agent platform,retrieval,llm,mlops,rag,hallucination control,rest apis,embeddings,ingestion,gcp vertex ai,ai/ml,python,iam,prototypes,vector databases,data science,cloud run,gke,semantic kernel,genai,prompt design,ragas,prompt injection risks,guardrails,develop apis,grounding,llmops,google agent development kit,lla

📌 Agentic AI (India)
🏢 IAssess Consultants
📍 India