Founding AI Engineer

Founding AI Engineer focuses on inspect, maintain, repair, install, design, or improve technical systems according to the role.

What the role involves

• Inspect, maintain, repair, install, design, or improve technical systems according to the role.
• Diagnose issues, complete checks, and keep records or handovers accurate.

Skills and requirements

• 5+ years of production backend experience, with meaningful time on data-heavy systems — retrieval, search, recsys, streaming pipelines, or ML infra with real users and real SLAs.
• You think data first . Schema design, freshness SLAs, idempotency, dead-letter handling, schema drift, CDC — second nature. Bad data in, bad agents out, and you've felt that pain.
• Strong opinions on hybrid retrieval. You know when BM25 beats embeddings, when SQL beats both, and you've made those calls in production.
• Eval-obsessed. You've built (not just used) eval pipelines for retrieval and agent behaviour.

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving

Additional role context

• It lives across 10+ systems, it's stale, it's permissioned, and full of half-truths people typed into Salesforce on a Friday afternoon.
• Drive and a long tail of broken APIs, then turning that mess into the precise, fresh, permission-aware context an agent needs to take a real action.
• Build both the context layer and the agents on top.