Agentic AI / GenAI Engineer ( Data Scientist)
Core
Design and deploy secure, production-grade AI agents and GenAI services using Google Cloud AI stack or equivalent frameworks.
Role type
Senior IC Agentic AI / GenAI Engineer
Builds
Production-ready AI agents, RAG systems, and LLM-powered services
Domain
Generative AI, Large Language Models, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, FastAPI, LLM application development, RAG implementation, Prompt engineering, LLM security, Vector databases, Agent orchestration, Cloud deployment, Model evaluation
Preferred skills
Google Agent Development Kit (ADK), Gemini Enterprise, Multi-agent architecture, Human-in-the-loop flows, Enterprise knowledge graph integration
Technologies
Vertex AI, Gemini, Cloud Run, GKE, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, Pinecone, Weaviate, FAISS, Chroma, pgvector, RAGAS, Evals
Responsibilities
Build real working prototypes and production-ready services; Implement RAG architecture including ingestion, chunking, retrieval, and grounding; Develop secure LLM applications with guardrails against prompt injection and data leakage; Deploy and monitor models on cloud infrastructure; Design agent orchestration workflows
Seniority
Senior, hands-on IC
