Senior AI Engineer (Healthcare)

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

Salary: $141,100–$194,000 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare and health insurance company serving millions of people through insurance and healthcare services.

What you will do

• Design, develop, deploy, and operate full-stack AI applications, including frontend experiences, APIs, backend services, and data pipelines.
• Build LLM workflows for extraction, classification, retrieval, summarization, agents, structured outputs, tool calling, and fallback handling.
• Implement RAG systems with embeddings, vector databases, semantic search, and document-processing pipelines covering OCR, ingestion, metadata extraction, indexing, and search.
• Develop evaluation frameworks with benchmark datasets, regression testing, quality metrics, and human review workflows for clinician and domain-expert feedback.
• Optimize systems for accuracy, latency, reliability, scalability, cost efficiency, explainability, and traceability.
• Deploy and operate production services using Kubernetes, Docker, CI/CD, monitoring, logging, alerting, incident response, and cloud-native infrastructure while meeting privacy, security, compliance, and auditability requirements.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, another quantitative or related technical discipline, or an equivalent combination of education and practical experience.
• 5+ years of experience building and operating production software systems.
• Experience developing backend services, APIs, distributed systems, or data-intensive applications.
• Hands-on production experience integrating LLMs beyond simple chat interfaces, including structured outputs, tool calling, RAG, agents, or multi-step workflows.
• Experience with at least one major AI platform or model provider, such as OpenAI, Anthropic, Google, Azure AI, or AWS Bedrock.
• Strong programming skills in Python and/or TypeScript/JavaScript.
• Experience debugging, monitoring, and supporting production applications used by real customers.
• Ability to work independently, navigate ambiguity, and own projects from concept through deployment.

Nice to have

• Experience building AI systems where LLMs are part of the critical production workflow.
• Experience with evaluation frameworks, testing strategies, prompt versioning, tracing, and model performance monitoring.
• Experience with agentic architecture, Model Context Protocol, tool orchestration frameworks, or autonomous workflows.
• Experience with React, Next.js, modern frontend development, and full-stack application architecture.
• Experience with Kubernetes, Docker, cloud environments, CI/CD, and infrastructure automation.
• Experience in regulated industries such as healthcare, financial services, or government, plus familiarity with privacy, compliance, governance, and data protection requirements.
• Experience using AI-assisted development tools and strong problem-solving, communication, and collaboration skills.

Culture & Benefits

• Work on production AI systems processing real healthcare data at scale, where accuracy, reliability, and auditability are critical.
• Collaborate with product, engineering, clinical, and operational stakeholders in a small, high-impact team.
• Hybrid work schedule with three office days and remaining days remote.
• Benefits include medical, dental and vision coverage, 401(k), paid time off, holidays, paid parental and caregiver leave, disability coverage, and life insurance.
• Work in a regulated environment with a focus on responsible handling of sensitive and protected data.