The short version
Unburdn helps real companies actually adopt AI and not just talk about it in strategy decks. We run workshops, we coach teams, and we help them integrate AI into their everyday workflows to realize productivity, efficiency, and creativity gains. Sometimes that looks like custom software. Sometimes it's teaching someone to build their own GPT. We meet companies where they are.
We need an engineer who's deep in the stack and deep in AI. Someone who's as comfortable discussing auth flows and deployment pipelines as they are debating RAG architectures and agent frameworks. Someone who keeps up with what's new, what's next, and what's actually worth using.
This is an early hire. You'll help shape how we build, what we build, and where we're headed.
What you'll do
- →Build cutting-edge AI projects. Sales intelligence pipelines that process thousands of emails. AI agents that automate document classification. Custom applications that put LLMs to work on real business problems.
- →Shape our platform. We're building a unified platform to deliver our bespoke software across our customer base. You'll help architect that and have a voice in the roadmap alongside product and leadership.
- →Work across the stack. Frontend, backend, infrastructure. You'll touch all of it. We lean TypeScript for everything.
- →Stay current. The AI landscape moves fast. We need someone who's already tracking it - new models, new frameworks, new capabilities - and knows what's signal vs. noise.
- →Be customer-facing when it counts. Maybe 20% of your time. Discovery calls to understand what we're solving. Demos to show what's possible. You're not hiding in the codebase—but building is where you're happiest.
What we're looking for
- →Principal or staff-level experience. You've been doing this for a while. You've made architectural decisions you had to live with. You've shipped production systems that scaled.
- →Deep AI experience. RAG pipelines, agents, prompt engineering, fine-tuning, integrations—you've built real things with LLMs, not just prototypes.
- →Full-stack fluency. Frontend frameworks, backend services, cloud environments (AWS, GCP, Vercel—you get the concepts), DevOps, security. You don't need hand-holding.
- →Willingness to work in TypeScript. It's our stack. You don't have to love it, but you need to be productive in it.
- →Strong opinions, loosely held. You'll have a voice in technical direction. We want you to use it—and to listen when someone pushes back.
- →Clear communication. You can explain technical tradeoffs to non-technical people. You write docs that others can actually follow.
Why this might be interesting
- →You'll work on genuinely hard AI problems for real customers—not R&D that never ships.
- →You'll have direct input on product roadmap and technical direction. No layers between you and decisions.
- →You'll help shape how we operate as an engineering team. Process, tooling, standards—it's not set in stone yet.
- →We're growing fast. This is a foot in the door of something that's taking off. Where it goes from here is partly up to you.