C THE Signs
Lead/Senior AI Developer (Agentic Healthcare Application)
United States · Senior
Work authorization requiredDetected 168 days ago
PythonFastAPIDistributed SystemsData StructuresAlgorithmsSQLBigQueryVector DatabasesGCPDockerCI/CDMachine LearningData EngineeringLLMsRAGAgentic AIMLOpsLangGraphComplianceHIPAAResearchLeadershipMentoring
About the role
- Role Overview We are looking for a forward-thinking Senior AI Developer to architect and build the next generation of Agentic AI applications in the healthcare industry. You will move beyond standard prompt engineering to design Agentic Workflows—systems where LLMs function as reasoning engines that can plan multi-step tasks, utilize external tools (APIs,
- databases), and collaborate with other specialized agents to achieve high-level goals. You will contribute to the technical implementation of "Agency" in our software, transforming passive AI responses into active, goal-oriented behaviors. Experience working with the GCP Vertex AI ecosystem is a big plus. In this role, you will design agents capable of
Responsibilities
- Build stateful control loops (Perception -> Reasoning -> Action) where agents can interpret clinical data, plan necessary checks, and generate risk assessments.
- implement effective product environment AI Agent execution monitoring and alert system to ensure SLA, safety and security compliance 3.
- expert level experience in design and implementation of
- Data & Tool Integration Structured Data Access: Build robust Python tools (Function Calling) that allow agents to securely query BigQuery or other datastores for patient demographics and symptoms.
- Agent monitoring: implement effective product environment AI Agent execution monitoring and alert system to ensure SLA, safety and security compliance 3.
- Evaluation: Implement "LLM-as-a-Judge" frameworks to automatically test agent accuracy against "Golden Datasets" of clinical cases.
- 2+ years of hands-on experience building and deploying enterprise-grade agentic applications (e.g., using LangGraph, LangChain).
Requirements
- Expertise in prompting and configuring LLMs, specifically utilizing Function Calling and Context Caching.
- Experience with integrating LLMs into platform and application workflow, experience with
- 5+ years of software development experience.
- Familiarity with scalable, enterprise-level distributed systems Experience with advanced data structures, algorithms, and complexity analysis
Nice to have
- You will contribute to the technical implementation of "Agency" in our software, transforming passive AI responses into active, goal-oriented behaviors.
- Experience working with the GCP Vertex AI ecosystem is a big plus.
- Bachelor's degree in Computer Science, Computer Engineering, or a closely related quantitative field is required.
Skills
- Deploy agents on Vertex AI, Cloud Run, or GKE, ensuring low-latency inference and high availability for clinical users.
- Deep proficiency with LangChain or LangGraph, and specific experience with the
- Mastery of Python (FastAPI) and containerization (Docker) for deploying microservices to Cloud Run or GKE.
Benefits
- Competitive salary and benefits package.
- The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
- Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
- Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.
- RAG & Grounding: Implement "Enterprise Grounding" using Vertex AI Vector Search to ensure all agent outputs are strictly cited against official medical literature (e.g., medical research and guidelines).
- Healthcare Domain: Familiarity with handling unstructured medical text or clinical guidelines is highly preferred.
- Master's degree in Artificial Intelligence, Machine Learning, or a relevant field is strongly preferred.
- We are looking for a forward-thinking Senior AI Developer to architect and build the next generation of Agentic AI applications in the healthcare industry.
- Stock option/equity Flexible working arrangements (remote or hybrid options available).
Visa & Work Authorization
- Must be a US Citizen, Green Card holder, or currently in the US having a valid H1B visa
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