Research infrastructure
Research Engineer
This role lives at the intersection of research and infrastructure. You will build and maintain the systems that make AI visibility research possible at scale — prompt runners, answer capture pipelines, normalization layers, and the internal tooling that keeps quality high as models and assistants change.
Rolleoppsummering
Build the systems that run strategic prompts at scale, capture raw model output reliably, and feed clean data into evaluation pipelines.
Hvorfor rollen finnes
The research pipeline is the foundation everything else sits on. Without reliable prompt execution and output capture, the product has nothing to evaluate. We need someone who treats the pipeline as a product, not just plumbing.
Første 90 dager
Map and document the current prompt execution and capture pipeline end to end.
Hvorfor rollen finnes
The research pipeline is the foundation everything else sits on. Without reliable prompt execution and output capture, the product has nothing to evaluate. We need someone who treats the pipeline as a product, not just plumbing.
Dette vil du jobbe med
- Design and operate prompt execution systems across multiple AI assistants at scale.
- Build output capture, normalization, and storage layers that handle variability in model behavior.
- Own the reliability and observability of the research data pipeline end to end.
- Work closely with the research team to translate evaluation requirements into efficient system behavior.
Hvordan en sterk match ser ut
- Strong systems and backend engineering instincts applied to data pipelines and async workloads.
- Experience building reliable, observable systems that handle high cardinality and partial failures gracefully.
- Comfort reasoning about LLM output formats, rate limits, latency, and prompt execution logistics.
- A product mindset: you treat the pipeline as something users depend on, not just infrastructure.
Hva som vil motivere deg her
- Building the infrastructure that makes serious AI research operationally possible.
- Owning reliability for a data layer that directly determines product quality.
- Working on a system that touches every corner of the product.
Første 90 dager
- 01Map and document the current prompt execution and capture pipeline end to end.
- 02Identify and fix the top two reliability or observability gaps in the research data path.
- 03Ship at least one improvement that materially reduces the cost or latency of a core research workflow.
Ansettelsesprosess
Prosessen er bevisst kort, direkte og forankret i det faktiske arbeidet.
- 1
Søknad
Send oss bakgrunnen din, relevant arbeid og hvorfor denne rollen gir mening for deg.
- 2
Innledende samtale
En fokusert samtale om arbeidet ditt, vurderingsevnen din og selve rollen.
- 3
Rolle-spesifikk fordypning
En samtale eller oppgave som ligner mer på det faktiske arbeidet enn en generisk intervjurunde.
- 4
Samtale med founder
En siste samtale om standarder, ambisjon og hvordan suksess vil se ut her.
- 5
Beslutning
Vi avslutter tydelig og beveger oss raskt når overbevisningen er der.
Trenger du mer kontekst før du søker? [email protected]
Research Engineer
Rollen er synlig på siden nå. Søknader åpnes så snart den matchende Dover-stillingen er aktiv.
Søknader forblir stengt til den matchende Dover-stillingen er aktiv. I mellomtiden kan du skrive til [email protected].