Remote Lead AI Developer (Agentic Healthcare Application)

Role Overview 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. Key Responsibilities 1.

Architecting and Implementing Agentic Workflows Design Autonomous Loops: Build stateful control loops (Perception -> Reasoning -> Action) where agents can interpret clinical data, plan necessary checks, and generate risk assessments. Conversational Agentic workflow: Chatbot style user experience powered by LLM GCP Integration: Leverage Vertex AI for model serving and LLM models for reasoning, optimizing for long-context windows to process complex medical history. RAG experience with Vector Databases (Pinecone, Milvus, or Vertex Vector Search) Backend Engineering: Mastery of Python (FastAPI) and containerization (Docker) for deploying microservices to Cloud Run or GKE.

Healthcare Domain: Familiarity with handling unstructured medical text or clinical guidelines is highly preferred. Qualifications Experience: 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 Education: Bachelor's degree in Computer Science, Computer Engineering, or a closely related quantitative field is required.

Master's degree in Artificial Intelligence, Machine Learning, or a relevant field is strongly preferred. Work Authorization: Must be a US Citizen, Green Card holder, or currently in the US having a valid H1B visa 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.

Benefits: 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.