Applied AI Engineer (End-to-End ML)

Location: Palo Alto, CA (Hybrid)
Role Type: Full-Time / Permanent

Our client, a pioneering HealthTech AI company in Palo Alto, is seeking a high-calibre Applied AI Engineer to bridge the gap between advanced Machine Learning and robust Software Engineering. This is an end-to-end ownership role: you will be responsible for designing the logic, building the architecture, and deploying the final services. 

Core Responsibilities
  • Architect AI Workflows: Design and implement sophisticated agentic workflows and automation sequences that power clinical decision-making.
  • System Design & Integration: Build the backend infrastructure, scalable REST APIs, and data services required to support high-concurrency AI applications.
  • Rapid Deployment: Maintain a high-velocity shipping cycle, moving from prototype to production-grade implementation in days.
  • Model Orchestration: Select, fine-tune, and evaluate the performance of various LLMs (including OpenAI, Anthropic, and open-source models) for specific healthcare tasks.
  • Full-Stack ML: Own the pipeline from data ingestion and time-series forecasting to real-time classification and model monitoring.
Technical Profile
  • Computer Science Mastery: Expert knowledge of algorithms, data structures, and distributed systems.
  • Software-Heavy Background: Professional-grade Python skills. You should be comfortable with software design patterns, testing, and CI/CD.
  • Machine Learning Fundamentals: * Deep understanding of Core ML topics: classification, regression, and clustering.
    • Specific experience in Time Series Forecasting and temporal data analysis.
    • Proficiency in Generative AI: RAG architectures, prompt optimization, and agent frameworks.
  • Infrastructure: Experience deploying services to cloud environments (GCP preferred) and a solid grasp of MLOps and pipeline automation.
  • Education: BS in Computer Science or related field 4 years of experience, or an MS 2 years of experience.
Cultural Fit
  • Startup Agility: You possess the "scrappiness" to solve problems with limited resources but the rigor to ensure those solutions are enterprise-grade.
  • The "Generalist" Mindset: You enjoy working across the entire stack and are not afraid to dive into data engineering or infrastructure when needed.
  • Mission-Oriented: You are motivated by the prospect of using AI to significantly improve healthcare
Our client provides a highly competitive package, including a strong base salary, meaningful equity, and comprehensive premium healthcare benefits. You will join a world-class collaborative team in a hybrid environment in Palo Alto.

Please apply for more details