Pearl Health is looking for a Senior Software Engineer (Applied AI) to play a critical hands-on role in building the AI-powered intelligence layer of our platform. You will design and implement Applied AI features, including RAG pipelines, Agentic workflows, and LLM integrations, delivered through scalable, production-grade services.
What You'll Do
- Design, build, and own production AI features powered by LLMs, including RAG architectures and Agentic workflows.
- Develop high-performance data pipelines, APIs, and microservices that process healthcare data at scale.
- Execute Proof-of-Concepts and technical evaluations of new AI technologies to validate product viability.
- Build responsive web applications using modern frontend frameworks to deliver intuitive, user-facing features.
- Ensure observability, monitoring, and operational excellence for AI-powered services, championing security and regulatory compliance.
- Drive architectural decisions and system optimizations for AI features in close collaboration with leadership.
- Own technical projects from discovery to delivery with autonomy.
- Mentor and upskill fellow engineers on Applied AI best practices.
- Contribute to the team's understanding of LLM capabilities, limitations, and best practices within the healthcare domain.
- Participate in thorough design and code reviews.
- Identify and help resolve technical bottlenecks and cross-team dependencies.
- Balance speed and quality, making pragmatic decisions that enable rapid iteration.
What We're Looking For
- 5-8+ 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 RAG architectures, vector databases, embedding models, and/or Agentic workflows.
- Experience with observability and evaluation practices for production LLM systems.
- Strong proficiency in Python, relational databases, and a major cloud platform (AWS preferred).
- A deep understanding of modern service design principles, including RESTful and event-driven architectures.
- Proven experience designing, building, and optimizing data-intensive applications.
- A demonstrated history of mentoring engineers and driving technical best practices within a team.
- A strong background in performance optimization, reliability engineering, and security best practices.
Nice to Have
- Experience building and deploying user-facing client applications using modern frameworks (e.g., React, Angular, Vue.js, TypeScript).
- A background working in healthcare technology, fintech, or another highly regulated industry.
- Familiarity with compliance and security frameworks such as HIPAA or SOC2.
Technical Stack
- Python
- Relational databases
- AWS
- RESTful architectures
- Event-driven architectures
- Vector databases
- Embedding models
- LLMs
Benefits & Compensation
- Compensation: $130,000 - $200,000 per year
- Equity options
- Discretionary performance bonus
- Competitive benefits package
We are an Equal Opportunity Employer on a mission to improve lives. Our strength comes from the diverse backgrounds, experiences, and perspectives of our team. We welcome all candidates and are committed to a fair, inclusive hiring process free from discrimination.
