🚀 The Role

We’re hiring an Applied AI 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’ll take agent architectures from prototype to production in a domain where reliability directly affects patient outcomes. This means owning 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, this role is for 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 raising the bar on quality, performance, and architecture

✅ What You Need

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent work experience)
3+ years of software engineering experience, with 2+ years building AI/ML-powered systems in production
Experience in high-growth, fast-paced environments with end-to-end ownership from design through 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, grounding)
Familiarity with agent frameworks or orchestration patterns (tool calling, planners, multi-agent coordination) preferred
Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks preferred
Healthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling) preferred

💰 Compensation

Base salary: $135,000 – $165,000 (depending on experience, skills, seniority, and business needs)
Eligible for equity as part of total compensation package
Actual compensation may vary by location

🎁 Benefits & Perks

Competitive pay & equity*
Fully remote
Comprehensive health coverage (medical, dental, vision)
Paid time off
401(k) plan + matching
Paid parental leave
Home office stipend

\*Benefit offerings may vary depending on job profile, level, and worker type

🌟 Equal Opportunity

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, citizenship, medical condition, marital or domestic partner status, family status, military or veteran status, or any other basis protected by law.

Applied AI Engineer