GenAI Engineer
Core
Design, build, and deploy production-grade generative AI applications, intelligent multi-agent systems, and scalable cloud-native solutions within the Google Cloud ecosystem.
Role type
Senior GenAI Engineer (LLM & RAG specialist)
Builds
Generative AI applications, stateful multi-agent AI systems, REST APIs, and data ingestion pipelines for enterprise clients.
Domain
Enterprise AI, Generative AI, Google Cloud Platform
Deliverable
production ML models | product features | infrastructure
Required skills
Python, FastAPI/Flask, Google Gemini APIs, Vertex AI, LangChain, LangGraph, RAG architectures, Google Cloud Platform (IAM, Cloud Run, BigQuery, GCS), Vector databases (Pinecone, Weaviate, Qdrant, Chroma, Milvus), SQL, NoSQL, Prompt engineering, PEFT, LLMOps.
Preferred skills
Google Cloud Professional Machine Learning Engineer certification, Google Cloud Professional Cloud Architect certification, LlamaIndex, Hugging Face, React/TypeScript, Agentic AI architectures, MLOps/LLMOps platforms.
Technologies
Google Cloud Platform, Vertex AI, LangChain, LangGraph, FastAPI, Flask, Pinecone, Weaviate, Qdrant, Chroma, Milvus, BigQuery, Cloud Run, IAM, React, TypeScript
Responsibilities
Design and implement stateful multi-agent AI systems; develop scalable AI solutions using Google Cloud services; build robust data ingestion pipelines; implement vector search architectures; optimize LLM performance via prompt engineering and PEFT; define evaluation metrics for LLM accuracy and latency; apply LLMOps best practices; develop REST APIs to expose AI services.
Seniority
Senior, hands-on IC
