Lead AI Applied Engineer (Healthcare)

Location: New York, NY; hybrid schedule with three days per week in the office and remaining days remotely. Candidates must reside within, or be willing to relocate to, a commutable distance from one of the talent markets.

Salary: $170,800–$234,800 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare company providing insurance and healthcare services to millions of members through hirify.global and CenterWell.

What you will do

• Own the architecture, design, and evolution of full-stack AI applications, including LLM pipelines, retrieval systems, agentic workflows, human-in-the-loop processes, and platform services.
• Design and build scalable AI solutions optimized for reliability, accuracy, auditability, performance, and cost efficiency.
• Define engineering standards for evaluation, structured outputs, observability, testing, fallback strategies, latency optimization, and cost controls.
• Lead technical design reviews, architecture decisions, technology evaluations, and delivery planning across multiple projects.
• Mentor engineers through design reviews, code reviews, pair programming, and technical guidance.
• Own deployment, monitoring, incident management, production reliability, and compliance with privacy, security, governance, and audit requirements.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 8+ years of software engineering experience designing and operating production systems at scale.
• Proven experience delivering AI-enabled products into production and integrating LLMs into business-critical workflows.
• Hands-on experience with structured outputs, tool calling, retrieval-augmented generation, agentic workflows, orchestration frameworks, and evaluation pipelines.
• Strong programming skills in Python and/or TypeScript/JavaScript, plus experience with distributed systems, APIs, data platforms, and cloud-native applications.
• Ability to balance quality, latency, cost, security, maintainability, scalability, and operational reliability.

Nice to have

• Experience with evaluation frameworks, benchmark datasets, regression testing, human review processes, MCP, workflow orchestration, and AI observability platforms.
• Experience with React, Next.js, Kubernetes, Docker, CI/CD, GCP, Azure, AWS, Vertex AI, or comparable platforms.
• Experience in healthcare, financial services, government, or other highly regulated industries.
• Knowledge of privacy, compliance, security, and governance frameworks for AI and data-driven applications.

Culture & Benefits

• Hands-on technical leadership focused on ownership, accountability, continuous learning, and mentorship.
• Work on production AI systems supporting healthcare decisions for millions of members.
• Medical, dental, and vision benefits, 401(k), paid time off, holidays, parental and caregiver leave, disability coverage, and life insurance.
• 40 scheduled hours per week with a hybrid work arrangement.