Senior AI Developer – Agentic Healthcare Application

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C the Signs

SiteLinkedInTodas as Vagas

51 - 200 funcionários

⚕️ Seguro de Saúde

🤖 Inteligência Artificial

🧬 Biotecnologia

Healthcare Insurance • Artificial Intelligence • Biotechnology

C the Signs é um sistema inovador de previsão de câncer projetado para identificar pacientes em risco de câncer nos estágios mais iniciais e curáveis. Utilizando tecnologia avançada, pesquisa e evidências, C the Signs pode determinar rapidamente quais cânceres um paciente pode estar em risco e recomendar testes ou especialistas apropriados em menos de 30 segundos. O sistema apoia os provedores de saúde na melhoria das taxas de sobrevivência ao câncer, oferecendo detecção precoce e cuidados integrais, desde prevenção e triagem até diagnóstico e sobrevivência. Comprometido com a diversidade e inclusão, aborda desigualdades nos resultados raciais, beneficia pacientes em comunidades rurais e ajuda a reduzir o ônus financeiro do diagnóstico de câncer. C the Signs é dedicado a melhorar as taxas de sobrevivência e ajudar as pessoas a viverem vidas mais longas e saudáveis, aprimorando a detecção precoce do câncer e os cuidados.

Descrição

• 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.

🎯 Requisitos

• 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

🏖️ Benefícios

• 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.