What is PerfectServe?
PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. Our mission is to accelerate speed to care by optimizing provider schedules and routing communications—including messages, pages, calls, and alerts—to the right place at the right time in any care setting.
We are seeking a Director of Software Engineering to own the architecture, development, and continuous evolution of our AI-native answering service platform. This is a hands-on leadership role where you will set technical direction, make architectural decisions, write and review production code on critical systems, and build the engineering team as the platform scales.
Core Responsibilities
AI-Native Platform Architecture & Ownership
- Own the end-to-end technical architecture of the AI answering service, including voice pipeline design, LLM orchestration, API integration layers, and real-time telephony infrastructure.
- Define and enforce architectural patterns for AI system reliability, latency management, failure recovery, and scalability across production environments.
- Make build-vs-buy-vs-integrate decisions for new AI capabilities and evaluate third-party models and frameworks.
Hands-On Engineering Contribution
- Actively participate in design reviews, code reviews, and technical spike work for high-complexity components.
- Lead the implementation of core platform components including AI service integrations and orchestration logic.
- Diagnose and resolve complex production issues such as inference latency and integration regressions.
Team Leadership & Development
- Build and lead a high-performing engineering team; initially operate as both a technical lead and individual contributor.
- Hire, onboard, and develop engineers with a focus on AI/ML fluency and software craftsmanship.
- Foster a culture of technical rigor, iterative delivery, and psychological safety.
Engineering Operations & Delivery Excellence
- Define and track engineering KPIs including deployment frequency, uptime, latency SLAs, and error rates.
- Lead the adoption of modern development practices like AI-augmented workflows and automated testing for ML outputs.
Qualifications
- 10+ years of software engineering experience, with 4+ years in a technical leadership role with direct reports.
- Hands-on experience designing and operating AI/ML or NLP systems in production.
- Deep familiarity with LLM integration patterns, prompt engineering, RAG, and AI evaluation frameworks.
- Strong command of cloud-native architecture on AWS, including serverless and event-driven patterns.
- Proficiency in at least two of the following: Python, C#, .NET, React.
- Experience managing or collaborating with outsourced development partners.