Note: The job is a remote job and is open to candidates in USA. StitchFin is building the next generation of healthcare revenue cycle infrastructure with AI at the core. As an Applied AI Engineer, you'll design, build, and ship AI-powered features while developing and integrating voice AI capabilities, ensuring that systems are robust and reliable in real healthcare operations.

Responsibilities

• Design, build, and ship AI-powered features across the revenue cycle
• Build agentic AI systems that can handle complete multi-step workflows with appropriate human oversight and guardrails
• Develop and integrate voice AI capabilities
• Stand up retrieval, prompting, and fine-tuning pipelines using LLMs and other ML models, and choose the right tool for each problem rather than defaulting to one approach
• Build rigorous evaluation harnesses, offline and online
• Move features from prototype to production: monitoring, latency and cost optimization, fallback behavior, and the unglamorous reliability work that real systems need
• Collaborate with domain experts to encode revenue cycle logic correctly, and design human-in-the-loop experiences for cases the system shouldn't handle alone
• Research and develop underlying model capabilities

Skills

• 5+ years of software engineering experience, with 2–3 years building and shipping ML or LLM-powered features in production
• Strong programming skills in Python (and comfort with at least one other language)
• Hands-on experience with modern LLMs, RAG, evaluation, and integrating model APIs into real applications
• Solid software fundamentals: APIs, data pipelines, testing, version control, and deploying services in cloud environments (AWS, GCP, or Azure)
• A product mindset, you care about whether the thing works for users and the business, not just whether the model benchmark looks good
• Comfort with ambiguity and messy, real-world data
• Agentic AI, experience building agent systems, including guardrails and human-in-the-loop design
• Voice AI, experience with conversational voice systems
• Fine-tuning, distillation, or other model-customization techniques
• Building and maintaining LLM evaluation frameworks and observability tooling
• Prior experience in healthcare, fintech, insurance, or another regulated, high-stakes domain
• Familiarity with healthcare data standards and concepts
• Startup experience

Benefits

• Competitive salary
• Equity
• Healthcare benefits
• PTO
• Flexibility to do your best work anywherein the US

Company Overview