GenAI Engineer

About the role

Design and build next-generation AI applications using Google Gemini, Vertex AI, and the Google Cloud Platform (GCP) ecosystem.

Tasks

• Design, develop, and deploy Generative AI applications powered by Google Gemini (Pro, Flash, Ultra) and Vertex AI.
• Build advanced prompt pipelines, RAG applications, and AI workflows using LangChain.
• Design and implement stateful, multi-agent AI systems using LangGraph.
• Develop scalable AI solutions utilizing Google Cloud services including Vertex AI Search, BigQuery, Cloud Run, Cloud Storage, and IAM.
• Build robust data ingestion pipelines supporting multiple document formats.
• Implement vector search architectures using Vertex AI Vector Search or vector databases such as Chroma, Milvus, Pinecone, Weaviate, or Qdrant.
• Optimize LLM performance using prompt engineering, few-shot learning, and PEFT techniques.

Requirements

• Strong programming experience in Python.
• Experience building REST APIs using FastAPI or Flask.
• Hands-on experience with Google Gemini APIs, Vertex AI, and other enterprise LLM platforms.
• Strong expertise with Langchain and LangGraph.
• Experience implementing RAG architecture.
• Strong knowledge of Google Cloud Platform (GCP).
• Experience with Vertex AI, IAM, Cloud Run, BigQuery, and Google Cloud Storage.
• Experience working with Vector Databases including Pinecone, Weaviate, Qd

Schedule

• 12+ Months
• Looking for W2 candidates. No C2C