EverHealth - Lead Forward Deployed Engineer (Remote, US)

About the role

EverCommerce (Nasdaq: EVCM) is a leading service commerce platform, providing vertically-tailored, integrated SaaS solutions that help more than 745,000 global service-based businesses accelerate growth, streamline operations, and increase retention. Its modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals.

With its EverPro, EverHealth, and EverWell brands specializing in Home, Health, and Wellness service industries, EverCommerce provides end-to-end business management software, embedded payment acceptance, marketing technology, and customer experience applications. Learn more at EverCommerce.com.

We are building an extraordinary company and looking for talented and motivated people to join our team.

EverHealth, a business within EverCommerce, provides modern end-to-end solutions for healthcare providers. Our open, connected ecosystem of solutions and services helps providers engage patients, increase revenue, improve business efficiency, and remain market competitive. We serve 72,000+ healthcare practices and counting.

EverHealth consists of SaaS products including DrChrono, iSalus, CollaborateMD, Updox, eProviderSolutions, AlertMD, and MD Coder. With two EHRs and platform-level solutions such as communication platforms and a clearinghouse, EverHealth delivers a turn-key, end-to-end solution for the software needs of a modern healthcare practice.

We are looking for a Lead Forward Deployed Engineer IV to join EverHealth's revenue cycle management (RCM) team. RCM is at the heart of how our customers get paid, and we are building a new generation of RCM tools that pair modern workflow software with AI agents to help billing teams work smarter, resolve issues faster, and collect more of what they've earned. This work is part of our broader focus on finding where automation, AI, and new experiences can make the biggest impact across the EverHealth portfolio.

As a Lead Forward Deployed Engineer IV, your customers are our internal RCM professional services team: the billers, A/R specialists, and operations leaders who work claims for EverHealth customers every day.

You will sit between that team and the product and engineering teams that serve them, learning how work actually gets done, then designing, building, and shipping AI agents and automations that take on repetitive work so billers can focus on higher-value accounts. These agents connect to our in-house products, our clearinghouse, payer portals, and the other systems our teams use every day.

Our first focus areas are A/R follow-up, denial management, and claim rejections.

This is a forward deployed role. You will spend as much time with stakeholders as you do in code: running discovery, turning ambiguous problems into clear requirements, getting prototypes in front of users in days and piloting with them within weeks, and adjusting quickly as feedback and priorities shift.

You will help define what should be built, build much of it yourself, and make sure what works in the field makes its way back into our core products. This is a senior individual contributor role, part of the EverHealth engineering organization, reporting to the engineering leader for RCM, with dotted-line partnerships into RCM professional services and the RCM product teams.

You will be one of the first forward deployed engineers at EverHealth. As the program grows, you will help shape its playbook, mentor the engineers who join it, and help find the next RCM workflows worth automating.

How this role fits: Our software engineers build the RCM worklist and the shared automation foundation that agents run on. Forward deployed engineers, like this role, work with RCM operations to build and tune use-case agents on top of that foundation and hand proven patterns back to the platform. Our data-focused forward deployed engineer makes the work and its outcomes measurable.

Responsibilities

• Embed with RCM professional services and operations teams to understand workflows, pain points, and where AI and automation can have the biggest impact
• Lead discovery with stakeholders, translating ambiguous business problems into clear requirements, delivery plans, and success measures tied to RCM results such as days in A/R, denial and overturn rates, rejection rework time, cash collected, cost-to-collect, and staff productivity
• Design, build, and deploy AI agents that do real RCM work, such as A/R follow-up, denial management, and claim rejections, building on our shared RCM automation platform and partnering with our software engineers when new platform capabilities are needed
• Build agents that work across the channels where RCM work actually happens, including APIs, payer and clearinghouse web portals through browser automation, and payer phone calls through voice agents
• Design agents to operate safely, with least-privilege access and managed credentials, a full audit trail of every agent action, human approval before changes to claims or accounts, and adherence to payer portal terms of use and call disclosure and recording requirements
• Put evaluation and observability in place so stakeholders can trust agent quality and see agent outcomes alongside human-driven work
• Lead rollout with operations, including shadow and pilot phases, updated SOPs, user training, and a regular review cadence with ops leads and BPO partners
• Partner with RCM product and engineering teams to harden proven solutions into the core platform and feed field learnings into roadmaps
• Serve as a trusted technical advisor to operations and business leaders, communicating progress, tradeoffs, and results clearly to technical and non-technical audiences
• Mentor engineers and help establish the practices, patterns, and reusable components that make forward deployed work repeatable
• Champion AI-assisted development across planning, design, coding, testing, review, and operations
• Build secure, reliable solutions that keep PHI within our AWS environment and meet HIPAA, SOC 2, and HITRUST requirements

Technology Environment

• Cloud Infrastructure: AWS
• Languages: Python and JavaScript/TypeScript, or equivalent
• AI: LLMs and agent frameworks, including AWS Bedrock and Bedrock AgentCore, tool use and MCP, agent evaluation, and voice and browser-use agents (e.g., Playwright)
• Integration Patterns: APIs, event-driven workflows, and integrations with in-house and third-party systems
• Data Platforms: modern relational databases such as Postgres, MySQL, and MSSQL
• Security & Compliance: HIPAA, SOC 2, and HITRUST, with PHI kept within our AWS environment

Skills and Experience needed for success in this role

• 8+ years of professional software engineering experience, including significant stakeholder- or customer-facing work such as forward deployed, solutions, or consulting engineering, or equivalent experience partnering directly with business teams
• Hands-on experience building and shipping AI agents or LLM-powered automation that solve real business problems
• Strong engineering skills in Python, JavaScript/TypeScript, or equivalent languages, with a track record of shipping production systems and integrations
• Exceptional communication and interpersonal skills: you build trust quickly, listen well, and can explain technical tradeoffs to operators, executives, and engineers alike
• Ability to run discovery, manage stakeholder expectations, and turn ambiguous or shifting requirements into working software
• Experience working alongside professional services, BPO, or operations teams to roll out new tools or workflows
• A bias for action and comfort with ambiguity, delivering incremental value quickly and adjusting course based on feedback
• Strong SQL skills and experience working with APIs, data models, and integrations across multiple systems
• Daily, hands-on use of AI coding and agent tools (e.g., Claude Code, Cursor, Copilot) across the development lifecycle in your own work
• A product engineering mindset focused on outcomes for users and the business, not just technology

Nice to Have

• Experience with AWS Bedrock AgentCore or comparable agent runtimes and orchestration frameworks
• Experience with agent evaluation and human-in-the-loop workflows
• Experience building voice agents (for example, automating outbound calls such as payer follow-up) or browser-use and computer-use agents that operate web portals
• Healthcare/RCM experience, such as claims, EDI 837/835, eligibility, denial and A/R workflows, and HIPAA

Additional information

Where: The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., Jordan, New Zealand, and Australia. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States. Candidates based in the Chicago area will work hybrid, meeting with the team in person 1-2 days per week.

Candidates elsewhere in the U.S. will work remotely. Please note that you must be eligible to work without sponsorship to qualify for this position, and this role may require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America. This role may also include periodic, optional travel to our RCM operations sites.

Benefits and Perks

• Hybrid or remote work, depending on location
• Continued investment in your professional development
• Day 1 access to robust health and wellness benefits, including an annual wellness stipend
• 401k with up to a 4% match and immediate vesting
• Flexible and generous (FTO) time-off
• Employee Stock Purchase Program

Compensation

The target base compensation for this position is $170,000 to $200,000 USD per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.

EverCommerce uses approved artificial intelligence ("AI") tools to support its business operations. Employees are encouraged to use authorized AI tools, when appropriate for their roles, to improve efficiency, quality, and innovation. All AI use must comply with company policies, including requirements concerning confidentiality, data security, intellectual property, accuracy, and human review. Employees remain responsible for reviewing and validating AI-assisted work.