As an AI Engineer at Coody, you'll help design and build production-grade AI systems with real end-to-end ownership of the architecture, the code, and the outcomes.
Assignments are typically 6–24 months, and as a consultant you're expected to ramp up quickly and deliver value from day one.
While your home base is AI engineering, you'll work across the broader tech stack; backend services, cloud infrastructure, data pipelines, and integrations
to ship complete, scalable solutions.
You'll build and deploy agentic AI systems, RAG pipelines, and LLM-powered applications in cloud environments, contribute to architecture and evaluation frameworks, and play an active role in a high-trust, high-performing team.
Requirements
5+ years of software engineering experience, with meaningful hands-on work in AI/ML engineering
Proven experience building agentic AI systems, RAG pipelines, and LLM-based applications in production
Solid understanding of prompt engineering, fine-tuning, vector databases, and AI evaluation techniques
Strong backend engineering skills in Python and/or other relevant languages such as TypeScript, Java, or Scala
A cloud-native background using Docker, Kubernetes, CI/CD, AWS / GCP / Azure and Terraform
or such
A degree in Statistics, Mathematics, Computer Science, or a related field
Based in Sweden: You must have Swedish citizenship, a valid work visa, temporary or permanent residency
Fluent in English (spoken and written).
Tech Stack
AWS
Azure
Cloud
Docker
Google Cloud Platform
Java
Kubernetes
Python
Scala
Terraform
TypeScript
Benefits
Maximized Compensation . Typically a +40% salary increase.
Freedom & Flexibility. No bosses. All digital. Fully remote for those who prefer.
Employment Security. High salary, pension, insurance, paid vacation and a big educational fund.
Shape the Future. Projects and assignments for digital game changers like Spotify, Hemnet, Visa, Tobii, Toca Boca, Mojang, Flightradar24, SJ, and exciting startups and scaleups.