[Hiring] Senior AI Engineer @Revecore

Role Description

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.

• 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.

Qualifications

• Advanced proficiency in Python, our primary development language.
• Strong background in software engineering best practices.
• Proven track record of developing and deploying autonomous AI agents and Large Language Model (LLM) applications in production environments.
• Deep, hands-on experience with agent orchestration frameworks such as Crew.ai, LangChain, or AutoGen.

Requirements

• Designing complex, multi-step agentic workflows where agents collaborate, delegate, and synthesize information to complete high-value tasks.
• Building agents capable of driving existing software systems, including API integration and experience with computer use (e.g., RPA-like UI interaction via vision/DOM parsing) and voice AI agents for outbound/inbound communication.
• Developing and implementing strict guardrails to ensure deterministic, safe, and compliant behavior from non-deterministic LLMs.
• Designing and deploying "oracle" or supervisor agents responsible for routing tasks, verifying the outputs of sub-agents, and maintaining overall system state and truth.
• Implementing logging, tracing, and monitoring specific to agentic behavior to ensure accountability and debug complex multi-agent interactions in production.

Benefits

• Paid training and incentive plans.
• Medical, dental, vision, and life insurance benefits 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) contributions matched.
• Career growth opportunities.
• 12 paid holidays and generous paid time off.