Senior AI Engineer

Location: Hybrid, with three days per week in the office and remaining days remotely; must reside within or be willing to relocate to a commutable distance from Louisville, Boston, New York, Dallas, Tampa, Washington, DC, or Arlington, VA.

Salary: $117,600–$161,700 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare and health insurance company serving 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, agentic processes, structured outputs, tool calling, and fallback handling.
• Develop RAG systems using embeddings, vector databases, semantic search, OCR, document ingestion, metadata extraction, indexing, and search.
• Create evaluation frameworks with benchmark datasets, regression testing, quality metrics, model monitoring, and human-in-the-loop review workflows.
• Optimize production systems for accuracy, latency, reliability, scalability, and cost while implementing observability, monitoring, logging, alerting, and incident response.
• Deploy cloud-native services with Kubernetes, Docker, CI/CD, and infrastructure tooling while collaborating with product, engineering, clinical, and operational stakeholders.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, another related technical discipline, or an equivalent combination of education and practical experience.
• 5+ years of experience building and operating production software systems.
• Experience with backend services, APIs, distributed systems, or data-intensive applications.
• 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 a 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 architecture.
• Experience operating workloads with Kubernetes, Docker, cloud environments, CI/CD, and infrastructure automation.
• Experience in regulated healthcare, financial services, or government environments, including privacy, compliance, governance, and data protection.
• Experience using AI-assisted development tools and strong problem-solving, communication, and collaboration skills.

Culture & Benefits

• Hybrid work schedule with a 40-hour work week.
• Work in a regulated healthcare environment where sensitive and protected data must be handled responsibly.
• Medical, dental, and vision benefits, 401(k), paid time off, holidays, parental and caregiver leave, disability coverage, and life insurance.
• Work on AI systems designed to be accurate, traceable, trustworthy, and impactful for healthcare users.