C the Signs-posted 2 days ago
Full-time • Mid Level
Hybrid
11-50 employees

We are looking for a forward-thinking Lead AI Developer to architect and build the next generation of autonomous AI applications. 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 lead 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 essential. In this role, you will design agents capable of complex reasoning and tool usage, leveraging Google’s managed infrastructure (Vertex AI Vector Search, Cloud Run, and BigQuery) to ensure reliability, security, and performance.

  • Architecting and Implementing Agentic Workflows
  • Data & Tool Integration
  • Leadership & Strategy
  • 5+ years of software development experience.
  • 2+ years of hands-on experience building and deploying enterprise-grade agentic applications (e.g., using LangGraph, LangChain Agents).
  • Familiarity with scalable, enterprise-level distributed systems
  • Experience with advanced data structures, algorithms, and complexity analysis
  • Demonstrated history of product value delivery
  • Deep proficiency with LangChain or LangGraph, and specific experience with the Vertex AI SDK and ADK (Agent Development Kit)
  • Expertise in prompting and configuring LLMs, specifically utilizing Function Calling and Context Caching.
  • Experience with integrating LLMs into platform and application workflow, experience with MCP protocols
  • expert level experience in design and implementation of RAG based system using embeddings and vector databases
  • Strong SQL skills for BigQuery; experience with Vector Databases (Pinecone, Milvus, or Vertex Vector Search)
  • Mastery of Python (FastAPI) and containerization (Docker) for deploying microservices to Cloud Run or GKE.
  • Must be a US Citizen, Green Card holder.
  • Bachelor's degree in Computer Science, Computer Engineering, or a closely related quantitative field is required.
  • 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.
  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • 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.
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