Senior Software Engineer – Applied AI
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Job Description
Senior Software Engineer driving the development of AI-powered features for Pearl Health's platform. Focus on design, implementation, and optimization in a fast-paced healthcare environment.
Responsibilities:
- Play a critical hands-on role in building the AI-powered intelligence layer of the Pearl platform
- Design and implement Applied AI features, including RAG pipelines, Agentic workflows, and LLM integrations
- Develop high-performance data pipelines, APIs, and microservices that process healthcare data at scale
- Execute Proof-of-Concepts (POCs) and technical evaluations of new AI technologies
- Build responsive web applications using modern frontend frameworks
- Ensure observability, monitoring, and operational excellence for AI-powered services
- Drive architectural decisions and system optimizations for AI features
- Mentor and upskill fellow engineers on Applied AI best practices
- Own and deliver complex technical projects with autonomy and accountability
Requirements:
- 5-8+ years of professional experience in software engineering
- Hands-on experience building and productionizing Applied AI/LLM features
- 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
- 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.
Benefits:
- Competitive benefits package
- Discretionary performance bonus
- Equity options
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