Team Lead, AI Engineering

Team Lead, AI Engineering 

Start your next chapter at Revecore! For over 25 years, Revecore has been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. We're powered by people, driven by technology, and dedicated to our clients and employees. If you're looking for a collaborative and diverse culture with a great work/life balance, look no further. 

  

Revecore Perks: 

• We offer paid training and incentive plans 

• Our medical, dental, vision, and life insurance benefits are available from the first day of employment 

• We enjoy excellent work/life balance 

• Our Employee Resource Groups build community and foster a culture of belonging and inclusion 

• We match 401(k) contributions 

• We offer career growth opportunities 

• We celebrate 12 paid holidays and generous paid time off   

Location: Remote-USA 

 

 

Role Overview We are looking for an experienced Team Lead to guide our Core AI Agentic Development Team. This role demands a dual focus: maintaining a hands-on technical presence while providing mentorship, architectural guidance, and leadership to a team of Senior AI Engineers. The Team Lead will oversee the end-to-end development of complex, orchestrated agentic systems aimed at revolutionizing healthcare revenue cycle management and optimizing accounts receivable processes. 

 

Responsibilities: 

• Lead the design and delivery of scalable, multi-agent AI systems, providing architectural direction for complex agent orchestration and enterprise integration.  

• Oversee end-to-end development of agentic applications, ensuring alignment with business goals, performance standards, and healthcare revenue cycle requirements.  

• Mentor and guide a team of AI engineers through hands-on technical leadership, fostering best practices in LLM development, Python engineering, and system design.  

• Establish and enforce engineering standards, conducting code reviews and ensuring high-quality, maintainable implementations of agent-based systems.  

• Architect and implement supervisor (“oracle”) agent frameworks to manage task delegation, validate outputs, and maintain system integrity.  

• Drive the development of agents that interact with APIs, legacy systems, and UI/voice interfaces to automate complex operational workflows.  

• Define and implement governance, monitoring, and guardrail strategies to ensure safe, compliant, and reliable behavior of AI systems in production.  

• Partner with cross-functional stakeholders (product, operations, and domain experts) to translate complex requirements into scalable technical solutions 

 

 

 

Required Experience and Skills The ideal candidate will demonstrate the same elite technical skills expected of our Senior AI Engineers, including advanced Python proficiency, production LLM deployment, and mastery of orchestration frameworks like crew.ai. Furthermore, the candidate must possess deep technical knowledge in building scalable agent architectures, foc