AI Engineer

Overview In this role you will build production-grade Generative AI applications and RAG platforms, connecting enterprise data to cross-functional teams. You will deploy scalable AI solutions on Google Cloud, monitor performance, and ensure governance and security. The position focuses on transforming unstructured content into actionable knowledge, enabling healthcare technology teams to scale AI impact. You will work remotely with an impact-driven, collaborative team delivering practical AI in a regulated domain. This is a chance to shape enterprise AI capabilities at scale. Compensation / BenefitsMedical, dental & vision401(k) Retirement PlanLife InsuranceShort and long-term disabilityHealth Spending Account (HSA)Time Off/Leave (PTO, Vacation or Sick Leave) ResponsibilitiesBuild Generative AI applications with LLMs and modern AI frameworksDevelop RAG pipelines, semantic search, and vector-based retrievalCreate scalable backend services and APIs using Python and FastAPIDesign AI agents and tool-calling workflows connected to enterprise data sourcesProcess unstructured content (PDFs, images, tables, documents)Deploy containerized AI apps on GCP (Cloud Run, GKE) using DockerEvaluate model performance and implement AI monitoring, security, and governanceCollaborate with engineering, quality, validation, and business teams Key requirements4+ years of software engineering and/or machine learning experience1–2+ years hands-on Generative AI or LLM application developmentStrong Python development experienceProduction experience with Google Gemini and Vertex AIExperience building RAG pipelines, AI agents, and tool-calling systemsKnowledge of vector databases, semantic search, and information retrievalExperience building REST APIs and microservicesExperience with Docker and cloud-based deploymentcollaborativecross-functional teamworkPythonFastAPILLMs and Generative AIRAG pipelines