Senior Software Engineer (Applied AI)

The Opportunity

As a Senior Software Engineer (Applied AI), you will play a critical hands-on role in building the AI-powered intelligence layer of the Pearl platform. You will design and implement Applied AI features, including RAG pipelines, Agentic workflows, and LLM integrations, while ensuring these capabilities are delivered through scalable, production-grade services. If you are passionate about turning cutting-edge AI into real products that drive better health outcomes for thousands of providers and their patients, this role could be a great fit.

Who We Are

Pearl Health is dedicated to empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care. Our platform delivers the technology, financial tools, and expert services that enable practices to provide more proactive, effective care to their Medicare patients, ultimately lowering costs and improving health outcomes.

Founded in 2020, we are a team of healthcare and technology innovators backed by premier investors like Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We partner with thousands of providers across 44 states to build a more sustainable future for American healthcare.

What You'll Do

Applied AI & Full-Stack Engineering

• Design, build, and own production AI features powered by LLMs, including RAG architectures (chunking strategies, semantic search, vector databases) and Agentic workflows.

• Develop high-performance data pipelines, APIs, and microservices that process healthcare data at scale and securely integrate LLM outputs into user-facing experiences.

• Execute Proof-of-Concepts (POCs) and technical evaluations of new AI technologies to validate product viability and scalability.

• Build responsive web applications using modern frontend frameworks to deliver intuitive, user-facing intelligence and analytic features.

• Ensure observability, monitoring, and operational excellence for AI-powered services, championing security and regulatory compliance (HIPAA, SOC2).

Technical Leadership & Collaboration

• Drive architectural decisions and system optimizations for AI features in close collaboration with product and engineering leadership.

• Own technical projects from discovery to delivery with autonomy, ensuring solutions align with business needs and long-term scalability.

• Mentor and upskill fellow engineers on Applied AI best practices, fostering a strong culture of technical excellence and collaborative growth.

• Contribute to the team's understanding of LLM capabilities, limitations, and best practices within the healthcare domain.

• Participate in thorough design and code reviews, raising the bar for technical quality across the team.

Delivery & Impact

• Own and deliver complex technical projects with autonomy and accountability, ensuring successful delivery aligned with business timelines.

• Identify and help resolve technical bottlenecks and cross-team dependencies that impact delivery velocity or system reliability.

• Balance speed and quality, making pragmatic decisions that enable rapid iteration while maintaining engineering excellence.

What You'll Bring

You are an experienced engineer who combines strong full-stack fundamentals with hands-on Applied AI experience. You're excited to build production AI systems in a fast-moving healthcare environment and to elevate the capabilities of the team around you.

Must-Haves

• 5+ years of professional experience in software engineering, with a strong foundation in service-oriented architectures and distributed systems.

• Hands-on experience building and productionizing Applied AI/LLM features, including working with RAG architectures, vector databases, embedding models, and/or Agentic workflows.

• Experience with observab