# Remote Staff Software Engineer, AI-Native Systems (Tech Lead)

## About the Role

Wheel is seeking a Staff Software Engineer, AI-Native Systems to set technical direction for agentic systems and lead the development of production-ready AI-native infrastructure. This is a hands-on technical leadership role focused on building and operating AI agents and platform capabilities in a regulated healthcare environment.

The role operates with the scope of a domain owner, taking ambiguous problems from definition through sequencing, technical execution, and measurable outcomes. The Staff Engineer will lead squads or cross-team initiatives, make architectural decisions, mentor engineers, and help establish engineering standards for responsible and reliable AI systems.

## Key Responsibilities

### Technical Leadership & Direction

* Own technical direction for a significant AI-native domain, such as agent architecture, platform abstractions, or evaluation and guardrail infrastructure.

* Act as technical lead for a squad or cross-team initiative.

* Decompose ambiguous problems, sequence delivery, identify blockers, and maintain focus on measurable outcomes.

* Write and review design documents and make and document key architectural decisions.

* Establish clear technical ownership and improve decision-making and review processes.

### Agent Architecture & Engineering

* Design and build production AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.

* Establish standards for production-ready agents, including testability, rollback safety, cost ceilings, failure modes, and human-in-the-loop boundaries.

* Remain hands-on in implementation and take ownership of technically challenging parts of the build.

### AI Platform Foundations

* Build and extend abstraction layers that enable teams to integrate AI capabilities safely across services.

* Define shared libraries, engineering patterns, and guardrails for use by other teams.

* Drive adoption of reusable AI platform capabilities.

* Translate privacy, security, and compliance requirements for sensitive data into concrete technical architecture.

### Cloud-Native Engineering

* Own full-stack delivery using TypeScript/Node.js and Python, including service and API layers, data-processing jobs, and internal interfaces.

* Use modern cloud infrastructure, event-driven patterns, CI/CD, and observability to deliver scalable AI-native systems.

* Own production deployment, monitoring, troubleshooting, and on-call responsibilities.

* Improve the operational reliability of inherited systems.

### Stakeholder Engagement & Advisory

* Partner with product, operations, clinical operations, and business leaders to evaluate AI use cases and technical approaches.

* Lead design sessions, proofs of concept, and build-with sessions with workflow users.

* Communicate technical trade-offs, risks, and recommendations to technical and non-technical stakeholders, including executives.

* Influence roadmap and prioritization based on technical risk, sequencing, and cost.

### Measure & Improve

* Own the evaluation strategy for the assigned domain.

* Define metrics, test harnesses, and evaluation plans for agent accuracy, latency, safety, and cost-effectiveness.

* Instrument systems to make AI behavior observable after deployment.

* Iterate based on data, feedback, and changing requirements.

* Identify and discontinue approaches that are not producing the desired results.

### Growing the Organization

* Mentor and develop engineers through code reviews, design reviews, pairing, and direct feedback.

* Create reusable patterns, documentation, and best practices that improve engineering practices beyond the immediate team.

* Support an internal community of practice focused on AI-native and agentic engineering.

## Required Qualifications

* 8+ years of experience building and operating production software.

* Meaningful full-stack development depth across a TypeScript/Node.js backend and at least one other programming language.

* Hands-on experience designing and deploying agentic systems in production.

* Experience with retrieval, orchestration, tool/function calling, and evaluation.

* Technical leadership experience as an individual contributor, including domain ownership and leading multi-engineer initiatives to completion.

* Demonstrated ability to drive technical decisions across team boundaries without positional authority.

* Ability to take loosely defined problems and develop them into shipped, measurable, agent-powered workflows.

* Working practice of using AI development tools as a development multiplier, with judgment about when to trust, verify, or override them.

* Strong cloud-native engineering fundamentals.

* Experience with CI/CD, observability, and operating production systems.

* Fluency with relational data and SQL.

* Strong written and verbal communication skills.

* Ability to write effective technical design documents.

* Comfort working with ambiguity and a bias toward shipping measurable results.

## Preferred Qualifications

* Python strongly preferred.

* Experience with agent frameworks and multi-agent architectures at production scale.

* Experience with model evaluation and guardrail infrastructure.

* Experience measuring AI output quality, detecting regressions, and maintaining safe operational boundaries for agents.

* Experience building platform capabilities consumed by other engineering teams.

* Background in workflow automation, forecasting-driven products, or supply-demand matching.

* Prior experience in a regulated environment such as healthcare/HIPAA or fintech.

* Experience working with AI on sensitive data and understanding the associated constraints.

* Experience mentoring engineers or serving as a formal technical lead.

## Skills & Competencies

* AI-native systems engineering

* Agentic AI architecture

* AI agents

* Retrieval and orchestration

* Tool/function calling

* Agent evaluation

* Guardrails and safety

* TypeScript

* Node.js

* Python

* Full-stack software engineering

* Cloud-native development

* CI/CD

* Observability

* Relational databases

* SQL

* API and service development

* Event-driven architecture

* Technical leadership

* Architecture and design

* Design documentation

* Cross-functional collaboration

* Production operations

* Mentoring

* Problem-solving

* Technical decision-making

## Education & Experience

### Education

* No specific educational degree requirement is identified in the source information.

### Experience

* 8+ years building and operating production software.

* Full-stack experience with TypeScript/Node.js and another programming language.

* Production experience designing and deploying agentic systems.

* Technical leadership and domain ownership experience.

* Experience operating cloud-native production systems.

## Work Arrangement & Schedule

* Remote-first position within the United States.

* Cross-functional role working closely with engineering, product, operations, clinical operations, and business teams.

* Production on-call responsibilities are included.

* The source does not specify a fixed working schedule or required working hours.

## Compensation & Benefits

* Compensation and benefits are not specified in the provided source information.

## Compliance / Additional Information

The role involves building and operating AI systems within a regulated healthcare environment. Privacy, security, compliance, and responsible use of AI with sensitive data are treated as engineering requirements.

### What Success Looks Like

* **First 90 days:** Build a working understanding of the AI platform surface area, ship something meaningful, and develop a point of view on areas of technical leverage.

* **First 6 months:** Own a domain, lead technical direction for a team within that domain, and establish an evaluation approach for shipped agents.

* **First year:** Establish patterns that are adopted by teams outside the immediate group and improve the work of other engineers.

### How We Work

* Remote-first within the US.

* Fast-moving environment with close collaboration between engineering, product, and the business.

* AI-forward engineering organization using AI in both development workflows and products.

Are you looking for remote jobs near your area? At Yulys, thousands of employers are looking for exceptional talent like yours. Find a perfect job now.