Principal Software Engineer

Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. As a Principal Software Engineer, you'll lead architectural decisions and drive the integration of artificial intelligence into product features while mentoring other engineers and collaborating across teams.

Responsibilities:

• Drive AI Transformation: Lead the strategy and execution of integrating AI capabilities into our core product, while adopting AI tools to accelerate internal team workflows and the software development lifecycle (SDLC)
• Establish Expertise: Develop deep product, technology, and AI ecosystem knowledge
• Architect & Build: Lead architecture and write code for complex, highly scalable systems and AI-driven features
• Problem Solving: Creatively solve complex problems with a focus on delivering value to our customers
• Cross-Functional Collaboration: Partner across multiple teams to drive successful outcomes and champion AI adoption
• Technical Governance: Actively review architecture and technical approaches, ensuring organizational alignment and future-proof AI strategies
• Mentorship: Provide tangible and actionable technical feedback to engineers, actively upskilling the team on modern AI engineering practices

Requirements:

• 12+ years of software engineering experience with 8+ years of technical leadership experience
• Proven track record of leading AI initiatives, integrating LLMs/Generative AI into commercial products, and optimizing developer workflows using AI tooling (e.g., GitHub Copilot, Cursor, etc.)
• Languages: Python, Java, JavaScript
• Frameworks: Vue, React, Flask, SpringBoot
• Databases: MySQL, Oracle, Postgres, DynamoDB, Firestore
• Cloud: AWS, GCP
• Flex time spent coding from 10% to 90% as needed by team(s)
• Tenacity and creativity to solve difficult problems with a focus on our customers, coupled with a desire to blaze the trail on less-glorious engineering tasks that are important to the business
• Strong technical mentor and sounding board for teams. Technical acumen and collaborative spirit that garners respect from engineering team members and leaders
• Continually identify opportunities to improve software and processes (especially via AI) and propose concrete plans to leadership
• Leader in establishing best practices and standards for the engineering organization
• Communicate complex technical and AI-related information in a clear and concise manner to a variety of audiences
• Ability to perform deep technical assessments of existing and potential new technologies, particularly in the rapidly evolving AI landscape
• Experience with AI orchestration frameworks like LangChain or LlamaIndex
• Familiarity with Vector Databases