Veyt

AI Engineer

Administration

Oslo, Norway

Publisert: 10/03/2026

Heltid

Utløper den 09/05/2026

Stillingsbeskrivelse

We are looking for a skilled AI Engineer to join our team and help shape how we build and ship AI-powered products. You will work at the intersection of applied machine learning and software engineering—translating cutting-edge LLM capabilities into reliable, production-grade systems that delight users and drive measurable business outcomes.


Join us and play a key role in shaping our mission. You’ll be part of a collaborative team dedicated to delivering innovative solutions that create real impact.


Veyt is a fast-growing market intelligence company in the renewable energy and carbon market and our clients span across some of the world's leading energy and utility companies. We enable organizations with data-driven insights to optimize their climate targets and facilitate the green energy transition.


**What Makes This Role Exciting**

- Innovate with AI – Design and implement intelligent features that empower users and simplify complex data analysis.
- Bring Data to Life – Build and optimize intelligent interfaces, visualizations, and AI-powered workflows that turn complex data into actionable insights.

**Your responsibilities:**
▸ Design and ship LLM-powered features including AI assistants and automated workflows — from idea to production.


▸ Architect and implement multi-step agent systems, integrating external tools, APIs, and retrieval pipelines to solve complex tasks reliably.


▸ Build, maintain, and improve data pipelines and orchestration flows using Prefect, ensuring reliability, observability, and on-time delivery of data to AI systems.


▸ Own the migration of ML prototypes into robust production services, defining clear SLOs, monitoring strategies, and rollback plans.


▸ Implement security, governance, and compliance controls to ensure responsible AI usage across all deployed systems.


▸ Partner with Product, Design, and UX teams to run structured evaluations, gather user feedback, and drive continuous quality improvements.


▸ Champion engineering best practices — code quality, observability, documentation — across the AI stack.


**Requirements**
▸ Proven experience in Software Engineering or Machine Learning with hands-on work building and shipping LLM-powered applications in production.


▸ Deep expertise in Python and TypeScript; strong command of API design, vector search, and embedding pipelines.


▸ Experience with prompt engineering, evaluation frameworks, and tooling for systematic LLM quality measurement.


▸ Familiarity with agent frameworks (e.g. Pydantic AI) and tool/function-calling integration patterns.


▸ Hands-on experience building and operating data pipelines — ideally with Prefect or a comparable orchestration tool (Airflow, Dagster).


▸ Solid working knowledge of AWS services used in data platforms: S3, EC2, IAM, CloudWatch.


▸ Excellent problem-solving skills and a track record of navigating ambiguous, fast-moving environments.


▸ Clear communicator — able to translate complex technical concepts for non-technical stakeholders and build shared understanding across disciplines.


**We offer:**
In addition to meaningful work helping corporates optimising their climate targets and the green energy transition, we also offer:



- 25 days holiday per year
- Flexible working policy
- Competitive terms and conditions
- An international work environment
- Central office location in Oslo
- Flexible office hours and location
- Lunch and gym facility

Veyt is an equal opportunity employer. We hire talented people, and we believe that diversity makes us better.


We look forward to receiving your application and will consider applicants consecutively. For further information regarding the position, don't hesitate to contact us: CTO, Flavio Oliveira, +47 9923 8098, Email: flavio.oliveira@veyt.com

Stillingsdetaljer

Publiseringsdato

10/03/2026

Sted

Oslo, Norway

Utløpsdato

09/05/2026

Erfaringsnivå

Medelnivå

Fjernarbeid

Hybrid

Arbeidssted

Oslo, Oslo

Lønnsinformasjon

EUR • Per År

Søknadsfrist

09/04/2026

Søknadsmetode

Website

Søknader

12

Publiserende selskap

category

Administration

Sted

Oslo, Norway

Bedriftens beliggenhet

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