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Senior AI Developer (Agentic Healthcare Application)

1 month, 1 week ago
United States
Full-time
Senior
AI Engineer
Software Development
CI/CD Docker FastAPI GCP HIPAA LLM Microservices MLOps Python SQL Vertex AI
Apply Now
C the Signs

C the Signs

C the Signs is a cutting-edge cancer prediction system that uses artificial intelligence to enhance early detection and survival rates. The company is dedicated to reducing healthcare disparities by accelerating early cancer detection, improving patien...

Professional Services
51-250
Founded 2017
View All Jobs 8

Description

  • Architect and implement agentic workflows that support multi-step reasoning, planning, and action-taking.
  • Build stateful autonomous loops that interpret clinical data, generate risk assessments, and determine needed checks.
  • Develop chatbot-style agent experiences powered by LLMs.
  • Integrate agents with Vertex AI and Google Cloud services for model serving, retrieval, and scalable deployment.
  • Implement enterprise grounding and RAG workflows using Vertex AI Vector Search and medical literature sources.
  • Build secure Python function-calling tools to query BigQuery and other datastores for patient demographics and symptoms.
  • Ensure AI operations meet HIPAA and GDPR requirements, including PII masking and data governance.
  • Deploy and support low-latency, highly available services on Vertex AI, Cloud Run, or GKE.
  • Implement agent monitoring, alerting, and compliance controls for safety, security, and SLA adherence.
  • Lead and mentor engineers on MLOps practices, including CI/CD and evaluation pipelines.
  • Design and run automated evaluation frameworks such as LLM-as-a-Judge against golden clinical datasets.

Requirements

  • 5+ years of software development experience.
  • 2+ years of hands-on experience building and deploying enterprise-grade agentic applications with tools such as LangGraph or LangChain Agents.
  • Deep proficiency with LangChain or LangGraph.
  • Specific experience with the Vertex AI SDK and ADK (Agent Development Kit).
  • Experience with Google Dialogflow CX.
  • Expertise in prompting and configuring LLMs, including Function Calling and Context Caching.
  • Experience integrating LLMs into platform and application workflows, including MCP protocols.
  • Expert-level experience designing and implementing RAG systems using embeddings and vector databases.
  • Strong SQL skills for BigQuery.
  • Experience with vector databases such as Pinecone, Milvus, or Vertex Vector Search.
  • Mastery of Python, including FastAPI, and containerization with Docker for deployment to Cloud Run or GKE.
  • Familiarity with scalable, enterprise-level distributed systems.
  • Experience with advanced data structures, algorithms, and complexity analysis.
  • Familiarity with handling unstructured medical text or clinical guidelines is highly preferred.
  • 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 with a valid H1B visa.

Benefits

  • Competitive salary and benefits package.
  • Flexible working arrangements, including remote or hybrid options.
  • Opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • A mission-driven team focused on saving lives and improving health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Interested in this position?

Apply directly on the company website

Apply Now

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