Senior AI Developer (Agentic Healthcare Application)

C the Signs

48d • Hybrid

About The Position

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 complex reasoning and tool usage, leveraging Google’s managed infrastructure (Vertex AI Vector Search, Cloud Run, and BigQuery) to ensure reliability, security, and performance.
Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Requirements

• 5+ years of software development experience.
• 2+ years of hands-on experience building and deploying enterprise-grade agentic applications (e.g., using LangGraph, LangChain).
• Familiarity with scalable, enterprise-level distributed systems
• Experience with advanced data structures, algorithms, and complexity analysis
• Demonstrated history of product value delivery
• Bachelor's degree in Computer Science, Computer Engineering, or a closely related quantitative field is required.
• Must be a US Citizen, Green Card holder, or currently in the US having a valid H1B visa
• Deep proficiency with LangChain or LangGraph, and specific experience with the Vertex AI SDK and ADK (Agent Development Kit) is highly desired
• 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.

Nice To Haves

• Master's degree in Artificial Intelligence, Machine Learning, or a relevant field is strongly preferred.
• Familiarity with handling unstructured medical text or clinical guidelines is highly preferred.
• Experience working with the GCP Vertex AI ecosystem is a big plus.

Responsibilities

• Architecting and Implementing Agentic Workflows
• Data & Tool Integration
• Leadership & Strategy

Benefits

• Competitive salary and benefits package.
• Stock option/equity
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level