AI Integration Engineer
No Isolation · Oslo, Oslo, Norway ·
- Work mode
- Hybrid
- Category
- Software engineering
No Isolation · Oslo, Oslo, Norway ·
At No Isolation, we’re a profitable, 65-person Scandinavian EdTech scale-up operating across Europe. We help educators bring learning and belonging to every child.
Our AV1 robot is deployed in 19 countries, with 5,000+ units supporting schools to improve attendance, belonging, and continuity of learning for children who cannot be physically present. Consistently described as life-changing, it bridges the gap between the student and their peers, restoring both educational continuity and the essential sense of social belonging.
We’re established enough to have a proven solution and strong financial foundations, yet still small enough for every new colleague to have a visible impact on our next stage of growth.
This is a new role at No Isolation, and you'd be the first person in it.
You'll sit inside Engineering but work mostly embedded inside selected internal business units, in contrast to the rest of Engineering. You’ll work with Sales, Customer Success, Finance and Operations. You’ll connect the tools they depend on and implement AI tools and automation flows to positively impact our revenue first and foremost, but also generally enhance internal effectiveness.
In practice: you set the bar for how much internal AI and Automation can change the company from the inside in 2026 and beyond, and you co-own the stack you put in place. You will have a lot of direct contact with the teams you're building for, and a lot of say in how the technical side gets structured to enable you, while having the support of experienced software engineers when needed.
Systems integration: Drive automation of key business areas and connect our business tools across Data, IAM, CRM, ERP (Odoo) and Finance through APIs, webhooks and events, so data stays in sync across systems.
Internal automation capability: Build and maintain workflows in Windmill and/or n8n; migrate us off legacy SaaS and iPaaS tools as you go. Aim to articulate as many problems as possible as deterministic automations that keep data and AI cost low.
Internal AI capability: Contribute to shared infrastructure for using AI internally alongside our cloud/platform engineers: assistants, retrieval over internal knowledge, summarisation, classification, routing, etc. Turn ad hoc AI experiments into tools people can actually rely on, with eval sets in place to catch regressions.
Data & internal foundations: Centralise data into sources the business can trust, reconcile figures across systems so numbers match wherever they appear, and provide internal tools and lightly-built apps.
Guardrails & cost control: Define the standards for how integrations and AI get built here. Keep the set of automation platforms small and deliberate (e.g. Windmill, n8n and some custom). Track AI spend and return on investment so we can monitor alignment between the two.
Partnership: Work directly with the teams you're building for: understand the actual problem, ship a working increment near-instantly, then iterate and negotiate toward durability. You're measured on time saved, additional revenue generated, budget synergies realised, not on the tools you ship. Share knowledge and lift others through e.g. workshops and townhalls.
Talent for working directly with non-technical stakeholders and turning a fuzzy request into a concrete system. This is a first-of-its-kind role here, so you're setting direction rather than following an existing playbook.
Experience connecting systems through APIs, webhooks and events: ERPs (Odoo v18 and beyond is a plus), CRMs, or Finance systems. At ease with various application protocols (REST), auth flows (OAuth/SSO) and the rough edges of third-party SaaS APIs.
Hands-on with a code-first orchestration platform: Windmill, Temporal, Airflow, n8n or similar.
A builder who finishes: Proficient in at least one general-purpose language (Python, TypeScript, Go), and comfortable taking something from rough prototype (built by you or non-technical people) to engineering standard.
Comfortable using and configuring self-hosted tooling (containers, secrets, backups, upgrades) to some extent, as opposed to fully leaning on managed SaaS
Practical experience with LLMs and agents: context engineering, RAG, evals, tool/function calling. You should have a good sense of where AI helps and where it adds fragility.
Data sense: savvy with SQL and common data stores; able to model, reconcile and centralize data; some exposure to classical machine learning can be an advantage.
Security-conscious by default: least-privilege access, careful handling of secrets, aware of GDPR, SOC and ISO requirements.
STEM degree (BSc/MSc) or equivalent practical experience in integration, AI & automation, or internal tooling.
Experience at product or scale-up companies is an advantage.
First-of-its-kind role: you will tackle opportunities unexplored so far at the company
Purpose with scale: The systems you build free up time that goes straight back into helping educators support thousands of children connected, learning, and included every single day.
Work with exceptional leaders: You'll report to our Director of Engineering, Jerome, with plenty of room to shape a high-trust, learning-driven engineering culture.
Growth through ownership: A lean environment with the freedom to propose what you think is best for our very company.
Stability with a lean size: We are profitable and growing rapidly, while keeping at a size where the ideal candidate will have high impact.
Flexible working around core hours (10:00–15:00), with a hybrid work schedule.
27 vacation days.
Travel and accident insurance for you and your immediate family.
Enhanced parental and sick leave.
Mobile phone and internet subscription reimbursement.
Regular company socials and an annual trip away together.
Think internal tools, fleets of connected robots, and the systems that keep Sales, Finance and Customer Success running. You'll work with:
Orchestration & automation: Windmill, n8n
Languages: Go, Python, TypeScript
Systems: Odoo, HubSpot, and the wider CRM/finance/IAM stack
AI: LLMs and agents, RAG/retrieval, MCP, evaluation tooling
Infrastructure: AWS, Kubernetes, containers
Data: SQL, MySQL, ClickHouse
Development: GitLab, Claude Code and handful of other solutions being evaluated
This role is based in Oslo with hybrid flexibility at our headquarters (up to 2 days remote work per week).
We welcome all qualified applicants. Due to current visa/work-permit processes, we can progress candidates already in Norway or relocating with no need for additional work permit (such as the EU/EEA citizens). (This note is about work authorization only; no sensitive personal data is required).
If you like building things that make everyone else's work easier, are passionate about AI, and want that to matter for something bigger, we'd love to hear from you.
Please click Apply and upload your CV in English.
If you'd like, you can also include a short video as part of your application — this is optional, but it gives us a chance to see a bit more of who you are beyond your CV.
🎥 You may watch how AV1 transforms inclusion in education here:
🌍 You may explore our mission and impact stories at
We kindly ask external recruitment agencies to refrain from contacting us regarding this position.