Lead AI Software Engineer

Location: Hybrid role based in Louisville, KY; Nashville, TN; Tampa, FL; Fort Lauderdale, FL; or Dallas, TX, with onsite work several days per week and flexibility to work remotely.

Salary: $129,300–$177,800 per year, plus eligibility for a bonus incentive plan.

Company

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

What you will do

• Lead architecture, design decisions, technical planning, design reviews, and code reviews for strategic AI initiatives.
• Design and build scalable, secure, cloud-native AI platforms and services using generative AI, LLMs, intelligent document processing, and data-driven applications.
• Build end-to-end production AI solutions, including APIs, microservices, data pipelines, orchestration layers, and evaluation frameworks.
• Partner with platform, infrastructure, and DevOps teams to deliver scalable, reliable, observable, and cost-efficient solutions from concept through production.
• Mentor software engineers and data scientists while promoting software engineering, AI development, cloud architecture, and operational excellence.
• Implement AI testing, validation, monitoring, performance optimization, incident response, security, compliance, risk management, and governance practices.

Requirements

• Bachelor’s degree in Engineering, Data Science, or a related field.
• 8+ years of software engineering experience with demonstrated technical leadership.
• Experience building and delivering large-scale, production-grade software platforms.
• Strong backend development expertise with Python, Java, or similar languages.
• Experience designing distributed systems and cloud-native applications.
• Ability to lead technical initiatives from architecture through deployment.
• Experience working in agile environments with frequent delivery and iteration.

Nice to have

• Production experience with AI, machine learning, generative AI, LLMs, AI orchestration frameworks, agent-based systems, or model-serving platforms.
• Experience with GCP, AWS, or Azure.
• Familiarity with RAG, embeddings, vector databases, semantic search, OCR, and intelligent document processing.
• Background in data engineering, data science, or MLOps.
• Experience building APIs, microservices, and event-driven architectures.
• Experience in complex or highly regulated enterprise environments, plus strong communication and stakeholder management skills.
• Advanced degree in Engineering, Data Science, or a related field.

Culture & Benefits

• Full-time schedule of 40 hours per week in a hybrid work arrangement.
• Medical, dental, and vision benefits, 401(k) retirement savings plan, paid time off, holidays, and paid parental and caregiver leave.
• Short-term and long-term disability coverage, life insurance, and additional well-being benefits.
• Work in an enterprise-scale environment focused on innovation, accountability, continuous learning, and high-quality execution.