This role is with one of Dex’s trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
The role
This is a profitable, bootstrapped company with significant ARR, on a clear path to substantial growth. They’re building an AI-native platform to disrupt a multi-billion dollar market, currently dominated by slow, expensive incumbents. Their bet is on a specialised, fast alternative, already trusted by leading tech companies, global brands, and major non-profits.
You’ll join a small, senior team building the core AI platform. This is a true product engineering role: you own features end-to-end, from customer conversation to deployment and operation. You’ll translate ambiguous problems into shipped product, without intermediate handholding. This isn’t just writing code; it’s building and operating the LLM features that power the platform, sitting in customer calls, and taking full responsibility for what you ship.
The work
- Own product features from initial customer problem to live deployment, translating ambiguity into tangible solutions.
- Design, build, and operate core LLM features: evals, agent loops, and retrieval over complex research data.
- Develop across the full stack – frontend, backend (Python), and AI components – to deliver integrated experiences.
- Engage directly with customers to understand pain points and inform product decisions.
- Take full operational responsibility for your code, including monitoring, alerting, and incident response.
What You Bring
- Proven experience building and operating LLM-powered features in production, with a deep understanding of evals, RAG, and tool use.
- Strong full-stack engineering skills, capable of owning features from frontend to backend, with Python as your primary backend language.
- Experience designing and building complex backend systems, including schema design, async processing, and robust observability.
- A track record of shipping product in fast-paced, early-stage startup environments.
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