C the Signs

Senior AI Developer – Agentic Healthcare Application

C the Signs

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

BigQueryCloudDistributed SystemsGoogle Cloud PlatformPython

About the role

  • 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
  • Leadership & Strategy
  • 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.

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.
  • Master's degree in Artificial Intelligence, Machine Learning, or a relevant field is strongly preferred.
  • Must be a US Citizen, Green Card holder, or currently in the US having a valid H1B visa
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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonGCPVertex AIBigQueryMLOpsCI/CDLLMLangGraphLangChaindata structures
Soft Skills
leadershipmentorshipstrategic thinkingcommunicationteam collaborationproblem-solvingproduct value deliveryevaluationmonitoringcompliance
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Computer EngineeringMaster's degree in Artificial IntelligenceMaster's degree in Machine Learning