Developer Experience Engineer

Qventus, Inc

United States

28 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

2 years minimum

Compensation

$180,000.0 - $200,000.0

Working hours

Regular working hours

Job source

www.qventus.com

Tech stack

Artificial Intelligence Amazon Web Services Audit Trail Automation of Tests Code Generation Code Review Cursor (Graphical User Interface Elements) Programming Tools Github Python (Programming Language) Open Source Technology Systems Development Life Cycle

+10 more

Software Deployment Software Engineering TypeScript Pulumi Large Language Models Multi-Agent Systems Prompt Engineering Backend Virtual Agents Terraform

Job description

We’re looking for a DevEx AI Engineer who sits at the intersection of platform engineering and AI-powered developer tooling
This isn’t just a platform role - it’s a mission to fundamentally change how our engineering team builds software
You will be the driving force behind integrating AI coding tools, autonomous agents, and intelligent workflows into every layer of our development lifecycle
At Qventus, we believe that AI-augmented engineering isn’t the future - it’s now. We’re all in
Our engineers use AI coding assistants daily, and we want someone who doesn’t just support these tools, but evangelizes them, evolves them, and pushes the boundaries of what’s possible with agentic development
You will be our internal champion for the AI coding revolution: running workshops, building internal tooling, and proving what a team operating at 10x velocity looks like
This is a high-visibility, high-impact role that will shape how Qventus engineers work, accelerate our product roadmap, and set the standard for AI-native software development in healthcare
Champion the adoption of AI coding tools - including Cursor, Claude Code, and emerging agentic frameworks - across the entire engineering organization
Run internal workshops, pairing sessions, and enablement programs to up-level engineers on prompt engineering, AI-assisted TDD, and autonomous code generation
Define and evolve AI-first development standards, integrating them into our engineering culture, onboarding, and day-to-day workflows
Design, build, and maintain the internal developer platform that enables teams to ship high-quality, secure software with speed and confidence
Own CI/CD pipelines, developer tooling, and self-service infrastructure that weaves AI assistance into every stage of the SDLC
Build intelligent automation for code review, test generation, documentation, and deployment - leveraging LLMs and agentic workflows to eliminate toil
Architect infrastructure for running AI coding agents in secure, sandboxed environments with the guardrails and observability our healthcare context demands
Establish and track DevEx metrics - DORA, cycle time, AI adoption rates - and drive continuous improvement against them
Act as a thought leader and internal advisor on AI coding trends, partnering across engineering, security, and product teams to keep our platform ahead of the curve

Requirements

Proven ability to drive cultural change - you’ve successfully convinced skeptical engineers to adopt new tools or workflows, and you know how to meet people where they are
Passion for real-world impact: you’re energized by the idea that faster, smarter engineering translates directly to better patient care
Strong proficiency in Python and/or TypeScript; comfortable writing backend services, CLI tools, and automation scripts
Systems thinker who can balance big-picture developer experience vision with the practical details of implementation
Deep, hands-on experience with AI coding tools - you’re not just aware of them, you live in them. You have strong opinions on what works and why
Strong communicator - you can write a compelling internal guide just as easily as you can give a compelling demo
5+ years of software engineering experience, with at least 2 years in platform, DevEx, or developer tooling roles
Experience building and maintaining CI/CD pipelines and developer platforms (GitHub Actions, Buildkite, ArgoCD, or similar)
Contributions to open-source developer tooling or AI/LLM tooling projects
Experience building or deploying agentic coding systems - multi-step agents that write, test, review, or deploy code autonomously
Background in infrastructure-as-code (Terraform, Pulumi) and cloud platforms (AWS, GCP)
Familiarity with healthcare tech constraints - HIPAA, SOC 2, audit logging - and how to design AI tooling that respects them