C the Signs · 1 month ago
Senior AI Developer (Agentic Healthcare Application)
Boston, MA
Full-time
Hybrid
Senior Level
5+ years expC the Signs is a company focused on shaping the future of healthcare through innovative AI technology. They are seeking a Senior AI Developer to architect and build autonomous AI applications that transform passive AI responses into active, goal-oriented behaviors, primarily within the healthcare domain.
Health CareHospitality
No H1B
U.S. Citizen Only
Responsibilities
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 & 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)
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
Security & Compliance: Ensure all AI operations comply with HIPAA/GDPR standards, implementing strict PII masking and data governance within the Google Cloud environment
System Reliability: Deploy agents on Vertex AI, Cloud Run, or GKE, ensuring low-latency inference and high availability for clinical users
Agent monitoring: implement effective product environment AI Agent execution monitoring and alert system to ensure SLA, safety and security compliance
Mentorship: Guide a team of engineers in MLOps best practices (CI/CD for models, evaluation pipelines)
Evaluation: Implement "LLM-as-a-Judge" frameworks to automatically test agent accuracy against "Golden Datasets" of clinical cases
Qualification
Required
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
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)
Google Dialogflow CX
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
Familiarity with handling unstructured medical text or clinical guidelines is highly preferred
Ensure all AI operations comply with HIPAA/GDPR standards, implementing strict PII masking and data governance within the Google Cloud environment
Deploy agents on Vertex AI, Cloud Run, or GKE, ensuring low-latency inference and high availability for clinical users
Implement effective product environment AI Agent execution monitoring and alert system to ensure SLA, safety and security compliance
Guide a team of engineers in MLOps best practices (CI/CD for models, evaluation pipelines)
Implement 'LLM-as-a-Judge' frameworks to automatically test agent accuracy against 'Golden Datasets' of clinical cases
Preferred
Master's degree in Artificial Intelligence, Machine Learning, or a relevant field is strongly preferred
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
Company
C the Signs
C the Signs gives GPs the ability to simultaneously check combinations of signs, symptoms and risk factors, in an easy to use format.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$16.08MKey Investors
Khosla VenturesCancerX Startup AcceleratorMMC Ventures
2025-01-30Series Unknown· $8M
2024-02-26Non Equity Assistance
2022-02-04Series A· $6.77M
Leadership Team
Miles Payling
Co-Founder and Chief Scientific Officer
Recent News
Precedence Research
2025-09-23
BioWorld Financial Watch
2025-04-30
Company data provided by crunchbase