Requirements
- 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 working with RAG architectures, vector databases, embedding models, and/or Agentic workflows.
- Experience with observability and evaluation practices for production LLM systems (prompt tracking, quality metrics, cost monitoring)
- 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.
