Senior AI Engineer

Senior AI Engineer 

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 seeking a Senior AI Engineer to join our Core AI Agentic Development Team. The primary objective of this role is to design, develop, and deploy robust, multi-agent systems that assist healthcare providers in optimizing their revenue lifecycle and managing accounts receivable (AR). As a senior contributor, you will architect complex agent orchestration workflows, ensuring our agents can securely and effectively interact with existing enterprise systems to drive operational efficiency. 

 

Responsibilities: 

• Design and implement multi-agent AI systems using frameworks such as LangChain, AutoGen, or CrewAI to automate complex healthcare revenue cycle workflows.  

• Develop and maintain agent orchestration pipelines where agents collaborate, delegate tasks, and synthesize outputs to drive end-to-end process automation.  

• Integrate AI agents with enterprise systems via APIs and RPA-style interfaces (UI/DOM/vision-based interactions) to execute real-world operational tasks.  

• Build and enforce guardrails, validation layers, and compliance checks to ensure safe, deterministic, and auditable behavior of LLM-driven systems.  

• Architect and deploy supervisor (“oracle”) agents to route tasks, validate sub-agent outputs, and maintain system-wide state and accuracy.  

• Implement logging, tracing, and monitoring frameworks to track agent performance, debug multi-agent interactions, and ensure production reliability.  

• Collaborate cross-functionally with product, engineering, and domain experts to translate healthcare revenue cycle requirements into scalable AI-driven solutions. 

 

 

Required Experience and Skills Candidates must possess advanced proficiency in Python, our primary development language, along with a strong background in software engineering best practices. A proven track record of developing and deploying autonomous AI agents and Large Language Model (LLM) applications in production environments is essential. We expect deep, hands-on experience with agent orchestration frameworks such as crew.ai, LangChain, or AutoGen.