Similar Jobs
Re‑architecting U.S. healthcare demands speed, precision, and an obsession with details. Cadence is building a remote care delivery system that keeps older people healthy, out of the hospital, and at home. By pairing each patient with a dedicated clinical team that reviews their health every day, versus every few months, we catch issues early and intervene before they escalate. The result: measurably better outcomes for patients and less administrative burden for clinicians.
Today, Cadence supports tens of thousands of active patients nationwide. Our AI‑powered system and scalable clinical model enable proactive, population‑level care. We’re among the fastest‑growing companies in healthtech, and we’re just getting started.
We're looking for a Senior Engineer to design and ship production agents that synthesize real-time clinical data, surface proactive care recommendations, and take action on behalf of clinicians. You will take agent architectures from prototype to production in a domain where reliability directly affects patient outcomes.
You'll own the full lifecycle of AI-powered clinical workflows: retrieval, reasoning, tool use, evaluation, and safety guardrails. If you've built agentic systems at scale and want your work to matter beyond engagement metrics, we’d love to speak with you.
WHAT YOU’LL DO:
- Design, build, and deploy clinical AI agents that reason over patient context, invoke tools, and generate care recommendations.
- Own reliability, observability, and cost efficiency of LLM-powered workflows at scale.
- Build and optimize RAG pipelines over clinical knowledge bases, treatment protocols, and real-time patient data.
- Develop evaluation frameworks: offline benchmarks, safety tests, regression suites, and LLM-as-judge pipelines wired into CI/CD.
- Design multi-step agent orchestration: planning, memory, tool use, error recovery, and human-in-the-loop escalation paths.
- Collaborate with clinical, product, and engineering teams to translate patient care needs into AI system design.
- Stay at the forefront of AI and engineering best practices, continuously pushing the team to raise the bar on quality, performance, and architecture.
WHAT YOU’LL NEED:
- Bachelor's or Master’s degree in Computer Science, Engineering or related field, or equivalent work experience
- 5+ years of software engineering experience, with 2+ years building AI/ML-powered systems in production
- Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) including prompt engineering, tool use / function calling, and structured outputs
- Experience building RAG systems: embeddings, vector stores, retrieval optimization, and grounding
- Experience in a high-growth, fast-paced environment with end-to-end ownership from design through production
NICE TO HAVE:
- Experience with agent frameworks or orchestration patterns (tool calling, planners, multi-agent coordination)
- Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks
- Healthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling)
WHO WE ARE:
We move fast, raise standards, and own outcomes. We hire drivers, not passengers – people who take initiative, solve problems, and sweat the details because lives depend on it. Momentum matters in healthcare where slow decisions cost lives. At Cadence, we set a high bar and back each other relentlessly to clear it. If you’re ready to do the best work of your career and make a real impact in healthcare, join us.
WHAT YOU’LL GET:
- Autonomy to tackle big, complex problems that matter
- An opportunity to improve lives every single day
- A chance to shape a category‑defining company at scale
- Medical, dental, and vision insurance
- Competitive total compensation and meaningful equity
- TelaDoc (virtual primary care)
- National and local discounts powered by TriNet
- Unlimited PTO and paid holidays
- Remote equipment setup and home office stipend
- Paid Parental Leave
- 401K and 401K match
- Charitable Donation Match program
- Location: Remote
Noteworthy
Our job titles may span more than one career level. The base pay for this role typically ranges between $180,000 – $245,000 annual base salary. Total compensation includes base salary and equity. The actual base pay is determined by a variety of factors, including experience, skills, training, and business needs. Compensation may vary based on market location and is subject to change.
Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws.
A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence.
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
