Lead/Senior AI Developer (Agentic Healthcare Application)
USD 138K-208K (estimate) Senior-level Full Time
Tasks
- Architect agentic workflows
- Build Python function calling tools
- Build evaluation pipelines
- Build stateful control loops
- Deploy agents on Cloud Run
- Deploy agents on GKE
- Design conversational agent workflows
- Develop RAG grounding with vector search
- Ensure GDPR compliance
- Ensure HIPAA compliance
- Implement AI agent monitoring and alerting
- Implement LLM as a judge evaluation
- Implement PII masking
- Implement autonomous agent loops
- Integrate Vertex AI model serving
- Mentor engineers in MLOps best practices
- Query BigQuery for patient data
- Set up CI CD for models
Perks/Benefits
- Continuous learning opportunities
- Flexible working arrangements
- Health equity mission
- Hybrid work option
- Remote work option
- Stock options
Skills/Tech-stack
BigQuery | CI/CD | Cloud Computing | Cloud Run | Context caching | Docker | Embeddings | FastAPI | Function Calling | GDPR | GKE | Google Cloud | Google Cloud Run | HIPAA | Langchain | Langgraph | MCP | Microservices | Milvus | PII masking | Pinecone | Python | RAG | SQL | Vector Search | Vertex AI | Vertex Vector Search
Education
Roles
AI Developer | Developer | Lead | Lead AI Developer | Senior AI Developer
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