Staff AI Engineer, Software

Summary

Join Health Gorilla as a Staff AI Engineer and lead the AI transformation of the Engineering organization. You will provide technical guidance, mentor others, and integrate cutting-edge AI solutions to boost engineering team productivity. This role demands technical leadership and hands-on programming to craft sophisticated AI-driven solutions. You will deliver engineering projects, develop and implement design strategies, provide technical expertise, and stay updated on AI advancements. Lead efforts to integrate AI tools into development and migrate legacy applications to a microservice architecture using AI. Mentor engineers in AI-assisted development techniques and ensure compliance with industry standards.

Requirements

• Masters degree in Computer Science or a related field or equivalent work experience
• 10+ years of experience in building enterprise software in Java
• 7+ years of experience building high traffic applications operating on large data sets with 24/7 operational requirements
• 7+ years of experience building, deploying, monitoring, and operating microservice architectures using K8s, Docker, and AWS infrastructure. Demonstrated experience leading migration of the company systems from a legacy monolith architecture into a microservices-based architecture
• Must be able to work in the US without sponsorship

Responsibilities

• Deliver engineering projects from concept to completion
• Develop and implement design strategies to improve products and systems
• Provide technical expertise, including troubleshooting and solutions, lead complex problem investigations
• Stay on top of the latest advancements in AI technologies, continuously applying innovations to drive Health Gorilla’s technical capabilities forward
• Lead efforts to integrate AI tools into the development process at Health Gorilla
• Lead the efforts to migrate existing legacy monolith application into a micro-service architecture - in part, by leveraging AI tools in the process
• Mentor other engineers in adopting advanced AI-assisted development techniques and best practices
• Ensure compliance with industry standards and regulations
• Stay up-to-date with industry trends and advancements

Preferred Qualifications

• 2+ years of experience accelerating production code development using AI/LLM tools. Demonstrated experience accelerating adoption of LLM-based tools across the engineering team. Experience using AI tools on both green-field projects as well as large legacy code bases is strongly preferred. Deep experience with Cursor is preferred
• Understanding of how LLM-based code generation systems work, their strengths and weaknesses, and strong (experience-backed) opinion on what are the most effective ways to utilize these tools
• Demonstrated experience with security and privacy issues surrounding handling sensitive data in a hosted multi-tenant environment. Experience with PHI data is strongly preferred
• Experience working with and good understanding of medical information systems and protocols (FHIR, HL7 CCDA, etc) is strongly preferred
• Experience working with large (multi-terrabyte) Mongo databases is a plus
• Demonstrated experience in balancing code elegance, speed of delivery, and tech debt
• Demonstrated experience in mentoring more junior engineers

Benefits

• New hire stock option grant
• 401(k) plan with discretionary matching (historically matched at 3%)
• Unlimited PTO plus 12 Holidays
• Medical, dental, and vision insurance for you and your family
• Short-, long-term disability, and life insurance
• Optional: Pet Insurance, Legal Services, and Credit Monitoring
• Mental health and wellness support
• Paid parental leave (up to 12 weeks)
• Monthly stipend for phone and internet
• Use of an Apple Laptop plus a $400 stipend for additional equipment