Senior Analyst, AI Engineer
Core
Building, testing, and deploying GenAI applications, Agentic AI systems, and RAG pipelines on Google Cloud Platform to solve complex healthcare problems.
Role type
Early-career AI Engineer (GenAI/Agentic)
Builds
GenAI applications, AI agents, RAG pipelines, and lightweight AI APIs
Domain
Healthcare / Generative AI / Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, SQL, Google Cloud Platform (GCP), Vertex AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, Vector Search, Cloud Run, Cloud Functions, Git, Clean modular code
Preferred skills
Clinical domain knowledge, Generative AI frameworks (LangChain, LangGraph), Machine Learning (TensorFlow, PyTorch), Data warehousing, Agile development
Technologies
Google Cloud Platform, Vertex AI, Gemini, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, LangChain, LangGraph, LlamaIndex, TensorFlow, PyTorch, Git, Jupyter
Responsibilities
Build and configure GenAI applications using Vertex AI SDK and Gemini; Assist in building AI agents with tool-use and reasoning loops; Support data ingestion into Vector Search or BigQuery for RAG; Design, test, and iterate on system instructions and evaluate model responses; Deploy and host AI APIs and microservices; Monitor and debug agent execution paths and API latency; Research and integrate new GenAI frameworks and tools
Seniority
Early-career, hands-on IC
