Tempus AI
Vertical AI · Precision medicine AI (NASDAQ:TEM)
- HQ
- Chicago, US
- Founded
- 2015
- Funding
- Public (TEM)
- Website
- tempus.com
Tempus AI currently has 12 active AI-related job listings. The majority of these roles, 75%, are focused on agents, with data and post-training roles making up the remainder. Engineering is the most frequent function for these positions, with hiring concentrated in the United States. The company is frequently seeking candidates with experience in agent orchestration, LLM observability, and fine-tuning. Over the last 30 days, Tempus AI has added 8 new AI roles, representing a 100% increase compared to the previous 30-day period.
Currently tracking 8 active AI roles, down 45% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $73k–$260k (avg $175k).
Vertical AI · Precision medicine AI (NASDAQ:TEM)
Tempus AI currently has 17 active AI-related roles in our index. The most common open titles are: Associate Director RWE, PharmaR&D, Customer Success AI Strategy & Agent Development Lead, Data Scientist II, Real World Evidence (RWE), Pharma R&D, Detection Engineer, Director, Epidemiology & Methodological Innovation. Most positions are in Engineering and Research.
Tempus AI's active AI hiring is concentrated in: agents (65%), data (29%), post-training (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Tempus AI is hiring AI talent in: United States (15 roles), Spain (1 role).
Job postings at Tempus AI most frequently reference: agent orchestration, llm observability, fine tuning, tool use, rag.
In the past 30 days, Tempus AI has posted 5 new AI-related roles. That is a -44% change versus the prior 30 days (9 → 5).
| Title | Stage | AI score |
|---|---|---|
| Senior Scientist II, Applied Machine Learning and Translational Agentic AI, Life Science R&D Lead the scientific development of agentic AI frameworks for discovering prognostic and predictive models in oncology, integrating LLM orchestration with translational science. Architect 'deep agents' for hypothesis generation, experimental design, and multimodal ML using foundation models. Innovate scientific methodology, develop predictive models and causal inference frameworks, and scale scientific discovery. | Agent | 9 |
| Translational Scientist, Applied Machine Learning and Agentic AI, Pharma R&D This role focuses on building cutting-edge agentic frameworks for automating the discovery of prognostic and predictive models in oncology, integrating LLM orchestration with computational biology. The scientist will develop 'deep agents' for hypothesis generation, experimental design, and multimodal ML modeling using foundation models, leveraging Tempus' extensive multimodal patient datasets. | Agent |
| 8 |
| Staff/Senior Machine Learning Engineer, Clinical AI Staff/Senior Machine Learning Engineer to build and operate production AI pipelines, including LLM-powered extraction, batch orchestration, and inference, with a focus on reliability, cost, and latency. The role involves designing and maintaining orchestration, building observability and eval infrastructure, shipping platform tooling, and collaborating with ML Scientists and platform teams. Experience with Python, microservices, cloud-native services, ML frameworks (LangGraph, PyTorch, spaCy), and design documentation is required. Preferred qualifications include experience with on-call rotations, incident response, building eval systems, production LLM application experience, internal platforms/SDKs, and clinical/biomedical data. | AgentEval Gate | 8 |
| GenAI Product Builder This role is for a GenAI Product Builder in the healthcare domain, focusing on leveraging AI and agentic tools to simplify product development and deliver customer solutions. The role involves end-to-end product ownership, designing and prototyping experiences, developing and engineering solutions using AI tools, and championing standards for scale. It is targeted at recent graduates with a strong aptitude for problem-solving, technical know-how, and process engineering. | Agent | 8 |
| Sr. Data Scientist, Translational Research This role focuses on building specialized AI agents and workflows that leverage LLMs to help clients derive insights from large-scale biomedical data. It involves client onboarding, scientific problem-solving, platform guidance, and creating AI-assisted tools for data analysis. The role requires experience in data science, machine learning, Python/R, and putting data science workflows into production, with a strong emphasis on using AI-assisted development tools. | Agent | 7 |
| Associate Director RWE, PharmaR&D Associate Director RWE, PharmaR&D at Tempus AI, focusing on designing and executing research projects for biopharmaceutical partners using real-world evidence and AI. The role involves computational analysis, guiding algorithm development, and incorporating LLMs and agentic workflows into research processes to advance cancer precision medicine. | AgentData | 7 |
| AI Data Science Summer Analyst This internship focuses on applying data science and machine learning techniques, specifically Large Language Models (LLMs), to streamline business operations through automation for document processing and data extraction, aiming to modernize business workflows and improve operational efficiency. | Agent | 7 |
| AI Data Science Summer Associate Seeking an AI Data Science Summer Associate to apply advanced AI/ML techniques, specifically LLMs, to automate documentation and improve efficiency in healthcare business operations. The role involves designing and implementing ML models and NLP algorithms, conducting EDA, and leveraging LLMs for automation. | Agent | 7 |
| Data Architect Data Architect to design the structural backbone of a high-scale, multi-modal healthcare data ecosystem, focusing on architecting data environments that serve AI agents and enable real-time clinical evaluation. | Agent | 7 |
| Customer Success AI Strategy & Agent Development Lead Lead the end-to-end development of AI agents within the Customer Success organization, focusing on identifying commercial opportunities, hands-on prompt engineering, and stakeholder alignment. This role bridges technical build teams and customer success to solve capacity and physician needs. | Agent | 7 |
| Detection Engineer This role focuses on building and maintaining data pipelines for security events, with a future goal of developing agentic SOC workflows. The engineer will integrate APIs, test work, and contribute to AI-assisted triage and enrichment, emphasizing human-in-the-loop guardrails and automation based on evidence. | Agent | 5 |
| Product Director, Lab Systems Product Director to lead a lab platform team, focusing on developing integrated products that optimize laboratory workflows. The role requires bridging AI/agentic software potential with the practicalities of lab operations, owning product vision, and leading a team of Product Managers. Experience in AI/ML, agentic workflows, systems thinking, and regulated environments is essential. | Agent | 5 |
| Sr. Data Operations Analyst This role is responsible for building and maintaining the data architecture that powers AI agents and cross-functional data products within the diagnostics business unit. It involves translating operational requirements into technical specifications, operationalizing data pipelines, and owning reporting and dashboard development. The role also supports GenAI and agent lifecycle management, including defining success metrics and evaluation frameworks. | Agent | 5 |
| Senior Software Engineer Senior Software Engineer to build horizontal GenAI solutions for Tempus' healthcare platform, integrating state-of-the-art GenAI capabilities into products. Role involves using GenAI tools daily and potentially integrating frameworks like LangChain. | Agent | 5 |
| Data Scientist II, Real World Evidence (RWE), Pharma R&D Data Scientist II role focused on Real World Evidence (RWE) in Pharma R&D, leveraging Tempus' multimodal platform. Responsibilities include leading observational studies, deriving insights from clinical data, implementing advanced statistical methods, and incorporating LLMs and agentic workflows to accelerate research and analysis. The role requires strong proficiency in R, SQL, machine learning, and communication with stakeholders. | Agent | 5 |