Lead AI Engineer

About Us

Integrated Home Care Services (IHCS) provides a comprehensive Integrated Delivery System in the home setting, offering Durable Medical Equipment (DME), Respiratory, Home Health, and Home Infusion services. Through our select network of Medicare and Medicaid Certified and Accredited providers, we are available 24/7 to meet the needs of our patients with compassion, expertise, and excellence.

For more than 30 years, IHCS has been dedicated to improving lives by delivering the highest quality in-home care services. As a trusted market leader in value-based Home Health, Durable Medical Equipment, and Home Infusion Services, we proudly serve more than 2 million lives across the United States and the Commonwealth of Puerto Rico. Our integrated care model is trusted by leading Managed Care Organizations (MCOs), physicians, and healthcare partners because of our commitment to exceptional patient outcomes and coordinated care.

At IHCS, our patients are at the heart of everything we do. We believe in creating a culture built on compassion, integrity, collaboration, and innovation. Every team member plays a vital role in fulfilling our mission of enhancing the quality of life for those we serve through Exceptional Customer Service, Proven Outcomes, and Seamless Care.

About the Role

IHCS is investing heavily in building and maintaining an agentic digital workforce—AI systems that augment the key internal roles involved in our core business of coordinated home care benefits management. We already have several early-stage implementations of these workforce agents in production and in development, and we're ready to scale that work into a coordinated, well-engineered program.

The Lead AI Engineer will own the design, implementation, and ongoing operation of these agentic systems. This is a player/coach role: you'll be hands-on building and shipping agents yourself, while also growing and leading a small engineering team as it scales. You'll bring senior software engineering judgment to a fast-evolving space, with the freedom to set technical direction on architecture and stack. We're looking for someone who is highly curious and genuinely energized by solving complex business problems through automation and AI—not technology for its own sake, but real solutions that get into production and deliver measurable business value.

Responsibilities

• Design, implement, and operate agentic AI systems for coordinated home care benefits management.
• Hands-on development and deployment of AI agents in production.
• Lead and mentor a growing engineering team, setting technical direction and best practices.
• Evaluate and benchmark third-party LLM providers/models for accuracy, cost, latency, and consistency.
• Shape and transform data for optimal model consumption (e.g., OCR/text extraction, structured-to-markdown conversion, chunking, summarization).
• Manage context window constraints to produce consistent agent outputs.
• Navigate data privacy and compliance considerations in a regulated industry (e.g., PHI handling, BAAs).

Requirements

• 5+ years of professional software engineering experience delivering and maintaining production systems.
• 1+ years of hands-on experience building and deploying LLM-powered or agentic systems that are live in production—not proof-of-concept or research-only work.
• Experience evaluating and benchmarking multiple third-party LLM providers/models for specific use cases.
• Experience shaping and transforming data for model consumption (e.g., OCR, structured-to-markdown conversion, chunking, summarization).
• Strong experience with AWS.
• Experience working in a regulated industry (healthcare, financial services, insurance, or similar), including navigating data privacy and compliance considerations.
• Experience leading, mentoring, or setting direction for other engineers, whether formally or informally.

Benefits

• Medical, Vision, and Dental insurance.
• Short- and Long-term disability insurance.
• 6+ days of holiday pay.
• 17 days of PTO.
• Employer-paid life insurance.
• 401K with employer contribution.
• Wellness program with reward incentives.
• Employee recognition and reward programs.
• Comprehensive paid training program.