Founding AI Engineer

Rapport is building AI-first infrastructure to fix healthcare’s financial plumbing and help providers get paid fairly.

Our work puts money back into patient care, reduces burnout in revenue cycle teams, and helps create a more aligned healthcare system.

Be part of a founding team solving one of the most critical problems in healthcare.

Mission with Real Stakes

Hospitals and clinicians lose enormous sums due to opaque payment rules and contract complexity. We are building the infrastructure to fix it, ensuring that healthcare dollars go to patient care, not administrative waste.

Early-Stage Impact

This is a founding-team moment. You'll join a small, focused team with meaningful equity and direct influence on our architecture, product direction, and culture. You're not just writing code; you're building the company.

Real Customers & Data

We have a large health system partner as a co-development customer. This gives early hires access to rich real-world data and immediate feedback loops—no building in a vacuum.

Deep Domain + Modern Tech

We combine decades of healthcare RCM experience with large language models, modern data pipelines, and agent-based automation to attack one of the most important unsolved problems in healthcare payments.

How We Work

Our values define how we operate and treat each other.

High Agency

We look for people who take ownership, solve problems proactively, and move with purpose.

Clear & Direct Communication

We give and receive feedback plainly and respectfully; clarity beats politics.

Customer Empathy

We care deeply about the realities our customers face and build with their constraints in mind.

Team-First

We iterate with customers, grounded in data and results, not slideware.

Work Hard, Celebrate Wins

We care about excellence and we make space to enjoy the journey together.

Work Style

• Remote-first, with in-person collaboration sessions every 6–8 weeks.
• High-trust environment focused on outcomes, not performative busyness.

Open Roles

Join us in building the future of healthcare payments.

• Turn messy contracts, claims, and policy documents into structured signals using LLMs, NLP, and modern data techniques.
• Design and maintain the pricing logic layer that determines expected payment, blending deterministic rules and ML-based validation.
• Build systems that can track temporal changes (effective dates, versioned rules) and explain why a claim priced the way it did.
• Implement models that flag anomalies, underpayments, and inconsistencies.
• Expose your work as reliable, auditable services and APIs that can operate at scale.

What you bring

• Strong experience in Python, SQL, and data modeling.
• Comfort designing systems that convert messy inputs into reliable, structured outputs.
• Experience with APIs and production services; familiarity with rules engines or ML validation is a plus.
• Curiosity about complex systems, and a desire to make them understandable.
• High rigor in testing, documentation, and version control.

"Perfect for someone who wants to own the brain of a next-generation healthcare pricing engine."

• Build and run ingestion pipelines from a wide variety of sources: flat files, spreadsheets, APIs, PDFs, FTPs, and public datasets.
• Standardize inconsistent inputs into structured, versioned datasets.
• Architect ETL/ELT workflows with strong data quality checks, lineage, and observability.
• Design normalized, queryable data models for analytics, AI training, and real-time services.
• Monitor pipeline health with metrics, dashboards, and alerts.
• Partner with AI engineers, product, and customers to align ingestion priorities with business value.

What you bring

• 5–10+ years of data engineering experience (or equivalent high-impact track record).
• Deep comfort with Python, SQL, and modern data stacks (Databricks or similar).
• Experience with cloud platforms and orchestration tools (Airflow, Dagster, Prefect, etc.).
• A builder mindset: you enjoy messy ingestion problems and take pride in clean, maintainable solutions.
• Experience with auditability, compliance, and traceability in data systems is a plus.

"You’ll own the foundation our AI and pricing intelligence is built on."

• Analyze payer reimbursement methodologies, fee schedules, bundling rules, and adjustment patterns.
• Validate expected payment outputs, compare them to actuals, and identify underpayments and anomalies.
• Work with AI and data teams to turn your understanding into structured rules, test cases, and evaluation frameworks.
• Partner with customers to interpret results, quantify opportunity, and inform payer projects and escalations.

What you bring

• Experience in healthcare pricing, reimbursement, managed care, or revenue integrity.
• Comfort reading contracts, policies, and fee schedules and translating them into practical logic.
• Strong analytical skills with Excel/SQL or BI tools.
• Ability to communicate insights clearly to both technical teams and operator stakeholders.
• Review and interpret complex payer contracts, amendments, policies, and associated fee schedules.
• Identify key terms, conditions, and edge cases that affect reimbursement, and help translate them into structured logic.
• Collaborate with AI/ML and product teams to validate how contracts are being modeled and priced.
• Surface ambiguities, conflicts, and risks in contract language and suggest ways to clarify or codify them.

What you bring

• Background in payer contracting, managed care, or healthcare legal / compliance adjacent roles.
• Strong attention to detail and comfort summarizing dense contractual language.
• Ability to work closely with both technical teams and customer-facing teams.
• Interest in codifying contract logic so it can be reasoned about by software, not just humans.

Across all roles, we value:

High ownership Comfort with ambiguity Customer focus Interest in AI

How We Hire

A streamlined process focused on clarity, respect for time, and real-world signals.

01

02

Deep Dive

Role-specific discussion (technical or domain-focused).

03

Practical Exercise

A small, realistic problem or walkthrough aligned with the role.

04

Founder Conversation

Alignment on values, ways of working, and expectations.