Cadence is a clinical AI company building infrastructure to support Medicare seniors with chronic diseases. We're applying AI agents across clinical workflows to deliver proactive care.

Company: Cadence

Role: Applied AI Engineer

Location: Remote

Experience:

3+ years of software engineering experience
2+ years building AI/ML-powered systems in production
Experience in a high-growth, fast-paced environment with end-to-end ownership

Key Skills:

LLM APIs (OpenAI, Anthropic, open-source models)
RAG systems: embeddings, vector stores, retrieval optimization, and grounding
Agent frameworks or orchestration patterns
Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks

Qualification:

Bachelor's or Master's degree in Computer Science, Engineering or related field
Equivalent work experience

Role Focus:

Design, build, and deploy clinical AI agents
Own reliability, observability, and cost efficiency of LLM-powered workflows
Build and optimize RAG pipelines
Develop evaluation frameworks
Design multi-step agent orchestration
Collaborate with clinical, product, and engineering teams

Nice to have:

Healthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling)
Experience with agent frameworks or orchestration patterns
Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks

Other:

Competitive pay & equity
Fully remote
Comprehensive health coverage: Medical, dental & vision
Paid time off
401k plan + matching
Paid parental leave
Home office stipend
$135,000 – $165,000 annual base salary

Applied AI Engineer

Skills Required

Description