Staff Software Engineer

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. We are seeking a visionary Staff Software Engineer to lead the architectural design and implementation of our next-generation Patient Evaluation Engine . In this role, you will move beyond traditional data pipelines to build a sophisticated platform powered by agentic architectures . You will be responsible for orchestrating autonomous agents that interact with complex healthcare datasets—both structured and unstructured—to drive real-time clinical insights at scale. As a technical leader, you will bridge the gap between high-level AI strategy and robust, production-grade engineering. Responsibilities Architect Agentic Systems: Design and lead the development of a scalable agentic evaluation platform, coordinating specialized AI agents to interact, reason, and execute tasks. Orchestrate Intelligence: Build the execution layer for agent input/output, ensuring seamless coordination between agents while meeting rigorous platform performance and scalability demands. Data Availability for AI: Architect systems that fetch, parse, and serve both structured and unstructured data to agents in a format optimized for real-time inference. Real-Time Execution: Ensure the evaluation engine supports low-latency, real-time clinical workflows, maintaining high availability in mission-critical environments. Technical Leadership: Lead scrum teams through the complexities of building in a HIPAA-regulated environment, serving as the primary technical authority and mentor. Evolve Engineering Practices: Establish patterns for agent observability, reliability, and human-in-the-loop checkpoints to increase the transparency of automated evaluations. Qualifications Expert Architect: Extensive experience as a Staff or Principal Engineer, specifically architecting complex distributed systems or AI-orchestration layers within the healthcare domain. Healthcare Data Mastery: Strong working knowledge of healthcare data models and interoperability standards ( FHIR, HL7, DICOM ) and experience handling genomic data formats. Cloud-Native Expert: Proven track record of delivering cloud-native solutions using AWS/GCP, Docker, Kubernetes , and microservices, with a focus on high-throughput data processing. Hybrid Environment Strategy: Experience architecting solutions that span hybrid on-prem and cloud environments, specifically tailored for sensitive health system integrations. Hands-on Mentor: You maintain hands-on-keyboard proficiency, capable of coding alongside the team while simultaneously developing incremental delivery plans in an agile environment. Regulatory Fluency: Deep familiarity with building secure, resilient systems within HIPAA and SOC2 compliance frameworks. Experience Requirements Total Professional Experience: 10 years of software engineering experience, with a proven track record of designing and deploying distributed systems at scale. Senior Leadership: 3 years in a Staff, Principal, or Lead Engineer role, specifically overseeing the technical roadmap and architecture for complex platforms. AI/ML Orchestration: 2 years of hands-on experience building applications with Large Language Models (LLMs), specifically focusing on agentic workflows, RAG (Retrieval-Augmented Generation), or autonomous tool-use. Healthcare Domain: 5 years working within HIPAA-regulated environments, with direct experience handling EMR integrations (Epic, Cerner) and healthcare-specific data standards. Data Engineering: Demonstrated experience managing both structured (SQL, NoSQL) and unstructured data at a scale of ... (truncated, view full listing at source)