[Remote] Senior Applied AI Engineer, Position Statements
Note: The job is a remote job and is open to candidates in USA. Pivotal Health is a leading technology platform focused on improving healthcare reimbursement processes. The Senior Applied AI Engineer will design and enhance AI systems to automate workflows and improve decision-making, directly impacting the organization’s business outcomes.
Responsibilities
- Own and improve production AI systems. Design, deploy, and optimize AI/ML solutions that support critical business workflows and operational decision-making
- Build AI-powered workflow platforms. Develop and refine production workflows leveraging generative AI models, agent frameworks, orchestration systems, and decisioning engines
- Design evaluation and experimentation frameworks. Create robust evaluation methodologies, testing strategies, and measurement systems that improve model quality, workflow performance, and business outcomes
- Translate business problems into scalable systems. Partner with product, operations, and engineering teams to define success metrics and convert ambiguous requirements into production solutions
- Optimize model and workflow performance. Improve prompts, retrieval strategies, agent behavior, and system-level workflows through continuous experimentation and feedback loops
- Drive engineering excellence. Contribute to architecture, testing, observability, deployment safety, and operational reliability across AI-powered systems
- Accelerate AI adoption across the organization. Leverage AI tools and best practices to improve team productivity while helping establish scalable AI-native ways of working
Skills
- 5–8+ years of experience building software systems in production environments, with a strong track record of owning and delivering complex technical solutions
- Experience building and operating applied AI, LLM, agentic, or decisioning systems in production environments
- Experience designing experiments, evaluation frameworks, optimization loops, or performance measurement systems
- Strong software engineering background with Python and backend systems supporting production-scale AI applications
- Proven ability to translate complex operational requirements and real-world data into reliable, shipped products
- Experience working within healthcare or similarly complex operational domains
- Product-oriented mindset with a bias toward ownership, execution, and delivering measurable outcomes
- Comfortable navigating ambiguity and driving initiatives from concept through production deployment
- Demonstrated ability to balance technical excellence with business impact
- Experience in domains such as marketplaces, pricing optimization, ad technology, credit decisioning, lending, revenue optimization, or operational analytics
- Experience with retrieval systems, prompt engineering, structured generation, model routing, agent architectures, or tool-using AI systems
- Familiarity with modern evaluation frameworks and production monitoring approaches for LLM-based applications
- Experience scaling AI systems that support high-volume operational workflows
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
Company Overview