--- title: 'Staff Software Engineer, AI-Native Systems at Wheel' canonical: 'https://feeny.ai/job/staff-software-engineer-ai-native-systems-wheel-united-states-632cqrnpp3qa' type: 'job' last_seen: '2026-10-16' --- # Staff Software Engineer, AI-Native Systems at Wheel - **Company:** Wheel - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-25 - **Last confirmed live:** 2026-10-16 - **Apply:** https://jobs.ashbyhq.com/wheel/65a40bdd-77c2-4031-b74c-e69df77954f8 ## Job description Staff Software Engineer, AI-Native Systems (Tech Lead) Location: Remote (US) We are Virtual care only works if the infrastructure behind it does. Wheel builds that infrastructure — the systems that let telehealth run at scale for the patients, clinicians, and companies depending on it. We're not bolting AI onto old workflows; we're rebuilding them from the ground up. Our mission to put great healthcare in everyone's reach means replacing manual, ad-hoc processes with intelligent, agent-powered systems that carry real operational load. We're innovating in a live, regulated healthcare environment where getting it right matters. This is the next architecture of virtual care, and we're building it now. You are A staff-level engineer who sets technical direction for agentic systems and then leads the work to ship them. You've built and operated agents in production, you know where they break, and you have opinions — held loosely, argued well — about how to build them so they hold up in a regulated environment. You operate with the scope of a domain owner, not a task owner. You take a problem that isn't yet well-formed, define it, sequence it, and lead a group of engineers to a shipped and measured outcome. Your impact shows up in other people's work as much as your own: the patterns they reuse, the design decisions they don't have to relitigate, the ambiguity you removed before it cost the team a quarter. You treat AI two ways at once — as a product capability you build with judgment, and as a development multiplier you use fluently — and you're the person who raises the org's bar on both. The Work Technical Leadership & Direction - Own the technical direction for a significant AI-native domain: agent architecture, platform abstractions, or evaluation and guardrail infrastructure. - Act as tech lead for a squad or a cross-team initiative — decomposing ambiguous problems, sequencing delivery, identifying and clearing blockers, and keeping the team pointed at the outcome rather than the ticket. - Write and review design docs; make and document the load-bearing architectural calls, including the ones where the answer is "not yet" or "buy, don't build." - Establish clear technical ownership where it's currently diffuse, so decisions have a named owner and reviews don't stall. Agent Architecture & Engineering - Design and build production AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. - Set the standards for what "production-ready agent" means here — testability, rollback safety, cost ceilings, failure modes, human-in-the-loop boundaries — and hold the bar in review. - Take on the hardest parts of the build yourself. This is a hands-on role; you are expected to be in the code. AI Platform Foundations - Build and extend the abstraction layers that let teams integrate AI capabilities cleanly and safely across our services. - Define the shared libraries, patterns, and guardrails other teams build on, and drive their adoption — a pattern nobody uses isn't a pattern. - Treat responsible use of AI on sensitive data as a hard engineering requirement, and translate privacy, security, and compliance constraints into concrete architecture rather than deferring them. Cloud-Native Engineering - Own full-stack delivery in TypeScript/Node.js and Python: service and API layers, data-processing jobs, and the internal interfaces on top of them. - Leverage modern cloud infrastructure, event-driven patterns, CI/CD, and observability to deliver scalable AI-native systems. - Own deployment, monitoring, and troubleshooting in production, including on-call, and improve the operational posture of what you inherit. Stakeholder Engagement & Advisory - Partner directly with product, operations, clinical operations, and business leaders as both technologist and trusted advisor — helping define which use cases are worth building and which aren't. - Lead design sessions, proofs of concept, and build-with sessions alongside the people who'll use the workflows, building trust and adoption as you go. - Communicate trade-offs, risks, and recommendations clearly to technical and non-technical audiences, up to and including the executive team. - Influence roadmap and prioritization with a clear-eyed read of technical risk, sequencing, and cost. Measure & Improve - Own the evaluation strategy for your domain: define the metrics, test harnesses, and evaluation plans that measure agent accuracy, latency, safety, and cost-effectiveness. - Instrument the systems so their behavior is legible after the fact, not just at demo time. - Iterate rapidly on data, feedback, and changing requirements — and kill approaches that aren't working, early and visibly. Growing the Org - Mentor and grow engineers through code review, design review, pairing, and direct feedback; make the people around you measurably better. - Craft reusable patterns, documentation, and best practices that raise the engineering bar beyond your own team. - Anchor our internal community of practice around AI-native and agentic engineering. What success looks like - First 90 days: you have a working map of our AI platform surface area, have shipped something real, and have a point of view on where the leverage is. - First 6 months: you own a domain outright, are leading a team's technical direction within it, and there's an evaluation story for the agents you've shipped. - First year: patterns you established are in use by teams you don't sit on, and engineers point to you as the reason their work got better. ## What we're looking for - 8+ years building and operating production software, with meaningful full-stack depth across a TypeScript/Node.js backend and at least one other language (Python strongly preferred). - A track record of technical leadership as an individual contributor: owning a domain, leading multi-engineer efforts to completion, and driving decisions across team boundaries without positional authority. - Hands-on experience designing and deploying agentic systems in production — retrieval, orchestration, tool/function calling, and evaluation — with a clear-eyed view of where LLMs and agents work and where they don't. - Demonstrated ability to take a loosely defined problem and drive it to a shipped, measured, agent-powered workflow. - A working practice of using AI development tools as a force multiplier, with judgment about when to trust, verify, or override them. - Strong cloud-native engineering fundamentals; comfort with CI/CD, observability, and running what you build. - Fluency with relational data and SQL. - Clear written and verbal communication, including the ability to write a design doc that changes minds. This is a remote, cross-functional role. - Comfort with ambiguity and a bias toward shipping measurable results. Strongly desired - Experience with agent frameworks and multi-agent architectures at production scale. - Model evaluation and guardrail infrastructure — measuring output quality, catching regressions, keeping agents inside safe bounds. - Experience building platform capabilities consumed by other engineering teams. - Background in workflow automation, forecasting-driven products, or supply-demand matching. - Prior work in a regulated environment (healthcare/HIPAA, fintech, etc.) and an instinct for the constraints that come with using AI on sensitive data. - Experience mentoring engineers or acting as a formal tech lead. ## How we work Remote-first (US), fast-moving, tight loops between engineering, product, and the business. We're an AI-forward engineering org — we expect AI in the toolchain and in the product, and we measure outcomes over activity. We handle sensitive healthcare data under strict controls; privacy, security, and responsible use of AI are engineering requirements here, not afterthoughts. Salary and Perks Pay Range: $185,725-$264,500 USD Final offer amounts are determined by multiple factors including, but not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations. As an employee of Wheel, you’ll enjoy our Total Rewards Program to help secure your financial future and preserve your health and well-being, including: - Medical, Dental and Vision - Ancillary: Life, Short and Long Term Disability - 401K match - Flexible PTO - Parental Leave - Stock options - Additional programs and perks Wheel is committed to equal employment opportunities for all team members. Every decision we make regarding employment is solely based on merit, competence, and performance. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Research shows that underrepresented groups typically apply only if they meet 100% of the criteria listed. At Wheel, we encourage women, people of color, and LGBTQ+ job seekers to apply for positions even if they don’t check every box for the role. ## About Wheel ## Company Overview - **One-liner**: Wheel provides the complete infrastructure for modern telehealth, enabling organizations to deliver consumer-centric virtual care through a configurable platform and a nationwide clinician network. - **Entity Type**: Private (late‑stage, $217.6M+ total funding) - **Headquarters**: Austin, Texas, United States - **Founded**: 2018 - **Founders**: Michelle Davey and Griffin Mulcahey ## Core Business - **Primary industry**: Healthcare / Virtual Care (telehealth infrastructure) - **Target customers**: B2B — enterprise companies (including Fortune 50), digital health brands, retail/pharmacy, and life sciences organizations - **Mission / purpose**: “Put great care within everyone’s reach” ## Products & Services - **Virtual Care Platform** – A modular, configurable technology stack that supports both synchronous and asynchronous care, with branded or white‑label experiences. - **Clinician Network** – A 50‑state network of board‑certified clinicians (physicians, NPs, RNs, PAs, behavioral health specialists, dietitians) delivering evidence‑based care 24/7/365. Clinicians work on flexible schedules and can serve multiple brands through one credentialing process. - **Care Programs** – 70+ ready‑to‑go clinical protocols for urgent care (acute needs), condition care (weight, hair loss, menopause), and convenience care (UTIs, cold/flu, birth control). - **Real‑Time Care Intelligence** – Analytics and dashboards to measure outcomes, efficiency, and patient satisfaction. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric**: Total funding raised **$217.6M** (Crunchbase/LinkedIn); annual revenue estimated at **$24.8M** (LinkedIn); **7+ million patient visits** completed - **Notable Investors/Partners**: Specific investor names are not detailed in available public sources. Wheel is “Trusted by the Fortune 50” and partners with leading consumer and digital health brands behind the scenes (white‑label). - **Growth Signals**: Headcount of **206 employees** (+3.9% YoY); active job postings up **266.7% year over year**; **93% clinician satisfaction** on the platform; **95% on‑time response rate**; quarterly job growth +57.1%. ## Competitive Advantages - **Modular infrastructure** that allows clients to stand up new virtual care programs in weeks, not months. - **Nationwide clinician network** with one credentialing process, enabling clinicians to work across multiple brands. - **White‑label capabilities** – client brands remain front and center, building patient loyalty. - **Evidence‑based protocols** (70+) covering a wide range of acute and chronic conditions. - **High clinician satisfaction** and 24/7/365 on‑time response rates. ## Strategic Focus - Expand into **life sciences** (branded, DTC‑ready care services) and **retail/pharmacy** channels. - Continue building **longitudinal care models** for ongoing conditions (weight, hair loss, menopause). - Deepen the platform’s **real‑time analytics** to improve outcomes and efficiency. - Scale the clinician network while maintaining **high satisfaction and flexibility**. ## Why Work Here - **Culture**: Mission‑driven, inclusive, collaborative – core values include *Care*, *Accelerate Impact*, and *Commit to Care*. The company actively supports diversity, equity, and inclusion. - **Remote / Hybrid**: **Flexible remote policy** – work from home is explicitly supported. - **Benefits**: Comprehensive medical, vision, and dental insurance; flexible PTO; paid parental leave; 401(k) with company match; Employee Assistance Program (EAP). - **Growth**: Rapidly scaling (job postings up 267% YoY) with roles across engineering, product, operations, and clinical leadership. ## Sources 1. [wheel.com](https://www.wheel.com/) 2. [wheel.com/careers](https://www.wheel.com/careers) 3. [wheel.com/about](https://www.wheel.com/about) 4. [wheel.com/clinicians](https://www.wheel.com/clinicians) 5. [linkedin.com/company/wheel-health](https://www.linkedin.com/company/wheel-health) ## Other roles at Wheel - [Director, Customer Support](https://feeny.ai/job/director-customer-support-wheel-united-states-w8xmwjezx95e) — United States - [Staff/Principal Product Manager, Patient Experience](https://feeny.ai/job/staff-principal-product-manager-patient-experience-wheel-united-states-wd0x0tfvrytk) — United States - [Marketplace Operations Manager II](https://feeny.ai/job/marketplace-operations-manager-ii-wheel-united-states-cbyncmcthjyv) — United States - [Medical Director, Clinical Program Design](https://feeny.ai/job/medical-director-clinical-program-design-wheel-united-states-vk2kb78yd0g3) — United States - [Full Time Remote Telemedicine Physician - (CA and IMLC license required)](https://feeny.ai/job/full-time-remote-telemedicine-physician-ca-and-imlc-license-required-wheel-xmzqncgx6dct) — United States - [Full Time Remote Telemedicine Physician - (40+ State Licenses)](https://feeny.ai/job/full-time-remote-telemedicine-physician-40-state-licenses-wheel-united-states-jrw8g318bc91) — United States