Senior AI Software Engineer

Location: Must live close to one of hirify.global’s designated IT locations in the United States: New York City, Louisville, Tampa, Fort Lauderdale, Dallas/Frisco, Boston, Washington, D.C., Atlanta, Nashville, Chicago, or Charlotte.

Salary: $106,900–$147,000 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare company providing insurance and healthcare services through hirify.global and CenterWell.

What you will do

• Build and maintain LLM-powered clinical features, including retrieval-augmented generation systems, structured prompt pipelines, and intelligent workflow automation.
• Develop evaluation frameworks and monitoring processes to measure the accuracy, safety, reliability, and failure modes of AI outputs in production.
• Build Python- or TypeScript-based backend services exposing AI capabilities through REST, GraphQL APIs, and WebSockets.
• Contribute to AI infrastructure design, deployment automation, MLOps tooling, and operational improvements.
• Ensure systems meet HIPAA standards and protect sensitive health information throughout the technology stack.
• Participate in architecture discussions, code reviews, technical design sessions, and the development of engineering standards.

Requirements

• Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent experience.
• 5+ years of software engineering experience, including 2+ years building production AI/ML systems.
• Hands-on experience with large language models, orchestration frameworks such as LangChain or LlamaIndex, and AI-assisted development tools.
• Proficiency in Python, TypeScript, and ML libraries such as Hugging Face, PyTorch, or scikit-learn.
• Experience with REST or GraphQL APIs, RAG pipelines, vector databases, and custom LLM or agent evaluations.
• Awareness of HIPAA requirements and secure handling of sensitive health data; must be located near a designated U.S. IT location.

Nice to have

• Experience fine-tuning or systematically evaluating foundation models.
• Knowledge of multi-agent architectures, agent orchestration, and sandboxed code execution.
• Exposure to clinical data, EHR systems, FHIR standards, or healthcare AI applications.
• Experience with Next.js, full-stack feature delivery, 0-to-1 product development, or early-stage engineering environments.
• Understanding of enterprise AI governance and responsible AI standards.

Culture & Benefits

• Full-time employment with a 40-hour scheduled work week.
• Medical, dental, and vision benefits.
• 401(k) retirement savings plan.
• Paid time off, company and personal holidays, and paid parental and caregiver leave.
• Short- and long-term disability coverage, life insurance, and other wellness benefits.