AI Engineer with Google Cloud Platform

Role: AI Engineer with Google Cloud Platform

Location: Atlanta, GA (Hybrid)

Duration: Long-term

• AI/GenAI Development: Design and develop production-grade AI and Agent Assist solutions using Python, Generative AI/LLMs, RAG, prompt engineering, and agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.
• Google Cloud Platform & Vertex AI: Strong hands-on experience with Google Cloud Platform, particularly Vertex AI/Gemini, Cloud Run/GKE, Cloud Storage, BigQuery, IAM, Secret Manager, and vector/semantic search capabilities.
• RAG & Document Intelligence: Build enterprise RAG pipelines covering document ingestion/OCR, chunking, embeddings, metadata management, vector search, reranking, grounding, and source citations.
• Python & API Engineering: Strong Python development skills with experience building scalable FastAPI/REST microservices, integrating enterprise APIs and data sources, and deploying containerized applications using Docker, Kubernetes, and CI/CD.
• Evaluation: Experience implementing LLM evaluation, hallucination mitigation, guardrails, observability, audit logging, security/IAM, and human-in-the-loop workflows. Experience delivering AI solutions in pharma, healthcare, life sciences, or another highly regulated industry is strongly preferred.