Team Lead, AI Engineering

Revecore • Remote,

10h • Remote

About The Position

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.

Requirements

• Advanced Python proficiency.
• Production LLM deployment.
• Mastery of orchestration frameworks like crew.ai.
• Deep technical knowledge in building scalable agent architectures, focusing heavily on system integration, guardrails, and governance.
• Architecting robust multi-agent orchestration systems, including the deployment of oracle/supervisor agents to manage task delegation and output verification.
• Leading the development of agents that interact with legacy and modern systems via APIs, computer use (UI automation), and voice AI.
• Establishing rigorous agent governance and safety guardrails to ensure compliance and reliability in production.
• Demonstrable experience in a team leadership or technical lead capacity.
• Guiding software development teams through the entire product lifecycle using agile methodologies.
• Conducting rigorous code reviews and establishing engineering standards specifically for agentic application development.
• Mentoring engineers and fostering a culture of continuous learning around rapidly evolving AI technologies.
• Collaborating with cross-functional stakeholders to translate complex requirements into actionable technical architectures.
• A quiet, distraction-free environment to work from in your home.
• A secure internet connection is required.
• Home internet with speeds >20 Mbps for downloads and >10 Mbps for uploads.
• The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.

Nice To Haves

• Domain expertise in the healthcare revenue lifecycle.

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.

Benefits

• Paid training and incentive plans
• Medical, dental, vision, and life insurance benefits are available from the first day of employment
• Excellent work/life balance
• Employee Resource Groups build community and foster a culture of belonging and inclusion
• 401(k) matching contributions
• Career growth opportunities
• 12 paid holidays and generous paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed