Senior Applied AI Engineer - Position Statements
About The Position
Pivotal Health is seeking a Senior Applied AI/ML Engineer to develop and enhance high-impact AI systems integrated into their core product and operational workflows. This role is crucial for leveraging generative AI and intelligence to revolutionize healthcare reimbursement, with a strong emphasis on hands-on model development. The engineer will work at the intersection of generative models, software, product workflows, and business outcomes, contributing to areas like document generation, dynamic offer engines, and advanced decisioning systems. The position requires a product-oriented approach, transforming ambiguous opportunities into robust, value-generating systems. This is an applied engineering role focused on building practical systems rather than isolated research, requiring an AI-first mindset and a commitment to developing production-ready evaluation frameworks.
Requirements
- Experience with applied ML, LLM systems, agent workflows, or decisioning systems in production.
- Experience designing and interpreting experiments, evals, or optimization loops.
- Experience with Python and backend systems that support production AI workflows.
- Experience turning messy operational data and product requirements into shipped systems.
- Experience with healthcare or other operationally complex industries.
- A product-oriented mindset with the ability to move from rough opportunity to concrete execution quickly.
Nice To Haves
- Experience in domains like marketplaces, pricing, ad tech, credit decisioning, lending, or revenue optimization.
- Experience with retrieval, prompt engineering, structured generation, model routing, or tool-using agent workflows.
Responsibilities
- Own and improve hands-on applied AI and ML systems that influence our most critical business KPIs and workflows.
- Build and refine production workflows around generative AI models, including decisioning, retrieval, and orchestration.
- Design and run robust evaluation frameworks (evals) and experiments that improve model quality, workflow quality, and business outcomes.
- Partner with product, operations, and engineering teammates to define success metrics and translate messy real-world problems into buildable systems.
- Improve prompt, model, and workflow behavior through tight feedback loops and practical iteration.
- Contribute to the engineering quality of these systems, including instrumentation, testing, rollout safety, and operational visibility.
- Utilize AI as a force multiplier in your own work and help the team move faster by bringing strong AI-native habits.
Benefits
- Competitive compensation, including equity
- Full health, dental, and vision coverage
- Retirement savings plan through 401(k)
- Flexible time off
- Opportunities for company-wide connection and events
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
