Small teams, AI superpowers, humans-in-the-loop. We build microservices that scale and applied-AI systems that hold up under audit, then we own them in production.
Why join Wenable
We ship production AI, not pilots. The work is whole problems, real ownership, and governance-grade rigor on every build.
We staff whole projects with small senior teams, not staff-aug seats. Agentic harnesses do the toil so engineers spend their time on architecture, judgment, and the hard parts. One engineer with the right harness outships a five-person team that codes by hand.
We ship to real users with audit trails, evals, and rollback plans, not demos that die after the steering-committee meeting. WeGuard manages 1.25M+ devices in production. Whatever you build here goes live and gets owned.
Explainability, approval checkpoints, drift detection, and audit trails are part of the build, not a compliance afterthought. We ship into HIPAA, SOC 2, GDPR, and FDA 21 CFR Part 11 environments. Rigor is a feature, not a tax.
Non-negotiable for every role here: you are fluent with SOTA LLM models and agentic coding harnesses (Claude Code, Codex, OpenCode, pi, and similar) and use them daily for research, development, and rapid prototyping. We hire engineers who force-multiply with AI, not engineers who are prompt-shy. In your application and interviews, show us how these tools change the way you ship.
Open roles
Every role here shares one requirement: you force-multiply with SOTA LLM models and agentic coding harnesses, daily. Expand a role for the full brief, then apply through our contact page.
A versatile engineer who thrives in large codebases and builds microservices that scale. You design distributed systems, model data across PostgreSQL and MongoDB, and run services in production on AWS. We are explicitly polyglot: there is no language preference between Java/Spring Boot and Go. We hire engineers who pick the right tool for the problem and learn the next one fast.
No language preference. Strong in Java/Spring Boot AND/OR Go is what matters, not which one.
What you will do
Must-haves
Nice-to-haves
Tech stack
Tell us about a distributed system you owned, the hardest scaling or reliability problem you solved, and how agentic harnesses change the way you ship.
Apply for this roleHow hiring works
We move fast and stay specific. You can use your harness in the technical round, because that is how you will work here.
Send your application through our contact page with a link to real work: a repo, a deployed system, or a prototype. Tell us how agentic harnesses change the way you ship.
A 30-minute conversation about your experience, how you work, and what you want to build. We answer your questions too.
A working session on a real problem in your domain: a system-design discussion for backend, a pipeline or data-modeling exercise for DE, a prototype walkthrough for applied AI. You can use your harness, because that is how you will work here.
Meet engineers across Dallas, Houston, and India. We check how you collaborate, review code, and reason about tradeoffs and governance.
Fast, clear decision with transparent comp and a concrete first project. No drawn-out limbo.
If you force-multiply with modern AI tooling and want to ship agentic systems and microservices that hold up under real load and real audits, we want to talk. Apply through our contact page or email us directly.
Don't see your role?
If you force-multiply with modern AI tooling and ship production systems, send a general application. Tell us what you build best and how agentic harnesses change the way you work, and we will find the right fit.