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SemantiSys AS · Norway

Technical Co-Founder Chief Technology Officer CTO

Hybridexecutivefull timePosted 2 days ago
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Stack mentioned

llmreinforcement-learningagentic-aiobservabilitydevsecopskubernetespythonpytorchmlopsmlflowgithub

Co‑Founder & CTO (Norway, on‑site/hybrid) — SemantiSys Type: Co‑Founder / Full‑time Location: Based in Norway or willing to relocate (on‑site ~3 days/week when in country) Start: Immediate / Q1 2026 Equity: Co‑founder grant subject to vesting

Important (please read before applying)

This is a co‑founder role (not a regular job posting). Please research what being a co‑founder entails before applying. Please DO NOT apply if you need an immediate salary.

Pre‑revenue, pre‑Seed; equity‑first. You must have personal runway to support yourself for up to 12 months.

We work in English; Norwegian is not required.

About SemantiSys We build the deterministic AI layer for airworthy maintenance. We turn OEM technical data (S1000D/SGML/PDF) into governed task cards/kits and scan‑time checks with industry‑standard AR smart glasses guidance and audit‑proof evidence.

What you’ll own

LLMs at scale: data → train/fine‑tune (SFT/PEFT/RLHF/RLAIF) → eval → deploy; retrieval and agentic tool‑use with safety/guardrails

CV/document understanding for shop‑floor use (detection/segmentation/tracking; OCR/SGML/PDF parsing)

Architecture to take prototypes → secure, multi‑tenant cloud SaaS (reliability, observability, rollouts/incidents)

Pipelines for S1000D/ATA, ERP/MMS boundary integrations, evidence/audit trails

Build and lead a high‑bar team across backend, ML, AR/UX, integrations, DevSecOps

Must‑have experience

Based in Norway or willing to relocate; on‑site ~3 days/week when in country

End‑to‑end LLM training at scale (beyond API orchestration): dataset curation, fine‑tuning, eval harnesses, deployment

Agentic architectures (planning, tool‑use, retrieval) with safety/guardrails and offline/online evaluation

Industrial CV and OCR/SGML/PDF pipelines for S1000D/ATA workflows

Aerospace/MRO familiarity (aero engine maintenance context, shop‑floor constraints)

Track record: demo/POC → secure, reliable, multi‑tenant SaaS in production

Cloud/k8s/IaC/CI‑CD; security‑by‑design; cost control; strong Python (PyTorch/JAX), ML Ops (MLflow/W&B)

Nice to have

AR smart glasses toolchains/streaming (OpenXR, gstreamer, low‑latency video, voice UX)

Ontologies/rules engines; ERP/MMS integrations; evidence/ledger pipelines

Compensation

Equity‑first co‑founder role

Vesting: 5‑year vesting with a 24‑month cliff (no vesting before month 24), then monthly

Salary: industry‑standard salary to begin after completion of the Seed funding round (target 12–18 months), or earlier if revenue permits

How to apply

Apply via LinkedIn. Include links to production‑grade Python/ML work (e.g., GitHub) in your profile or application.