DeepRec.ai · 14 hours ago
Senior Applied AI Engineer
DeepRec.ai is a pioneering HealthTech AI firm in the Bay Area, seeking a high-calibre Applied AI Engineer to bridge the gap between advanced Machine Learning and robust Software Engineering. This role involves end-to-end ownership, including designing, building, and deploying AI services.
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
Qualification
Required
Expert knowledge of algorithms, data structures, and distributed systems
Professional-grade Python skills
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
Experience deploying services to cloud environments (GCP preferred) and a solid grasp of MLOps and pipeline automation
BS in Computer Science or related field + 4 years of experience, or an MS + 2 years of experience
You possess the 'scrappiness' to solve problems with limited resources but the rigor to ensure those solutions are enterprise-grade
You enjoy working across the entire stack and are not afraid to dive into data engineering or infrastructure when needed
You are motivated by the prospect of using AI to significantly improve patient outcomes and healthcare efficiency
Preferred
Experience deploying services to cloud environments (GCP preferred)
Benefits
Meaningful equity
Comprehensive premium healthcare benefits