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Lead AI Engineer

🕒 September 2

🐊 Florida – Remote

infoinfo

⏰ Full Time

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on Integrated Home Care Services, Inc.'s careers page, not through a job board

First seen by Remote Rocketship September 2

Still open on Integrated Home Care Services, Inc.'s site. Checked 3 hours ago.

Logo of Integrated Home Care Services, Inc.

Integrated Home Care Services, Inc.

501 - 1000 employees

Founded 2015

🏥 Healthcare

⚕️ Healthcare Insurance

🤝 B2B

Healthcare • Healthcare Insurance • B2B

Integrated Home Care Services, Inc. is an integrated home care benefits manager that coordinates and manages value-based home health services, durable medical equipment, and home infusion for patients and members on behalf of health plans and providers. It provides network development and credentialing, utilization management, claims adjudication, analytics, and a technology-enabled platform for referrals, real-time documentation, and 24/7 access to services, aiming to reduce costs, improve outcomes, and streamline administration for payers, providers, and patients.

📋 Description

• Own the design, implementation, and ongoing operation of agentic AI systems • Build and ship AI agents hands-on for a coordinated digital workforce • Augment internal roles involved in coordinated home care benefits management • Scale early-stage agent implementations into a coordinated, well-engineered program • Set technical direction for architecture and technology stack • Grow and lead a small engineering team as it scales • Deliver production solutions that provide measurable business value

🎯 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 against each other for a given use case, including accuracy, cost, latency, and consistency • Experience shaping and transforming data for optimal model consumption, including OCR/text extraction, structured-to-markdown conversion, chunking, and summarization • Experience managing context window constraints to produce consistent agent outputs • Strong experience with AWS • Experience working in a regulated industry such as healthcare, financial services, insurance, or similar • Ability to navigate data privacy and compliance considerations, including PHI handling and BAAs, when integrating third-party LLM providers • Some experience leading, mentoring, or setting direction for other engineers, formally or informally

🏖️ Benefits

• Medical, Vision, Dental, Short- and Long-term insurance • 6+ Days of Holidays 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

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