Senior AI Engineer

Revecore

10h • Remote

About The Position

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.

Requirements

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

Nice To Haves

• Previous experience working within the healthcare revenue lifecycle domain is highly desirable.
• Candidates who understand the nuances of healthcare billing, accounts receivable, and revenue cycle management will have a distinct advantage, as this domain knowledge directly translates to more effective agent design and problem-solving.

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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees