AI Engineer (Mid–Senior)

Location: Hybrid option at our Stockholm HQ
Team: AI & Knowledge Engineering
Reports to: CTO

What You’ll Do

• Build and deploy LLM‑powered features: retrieval‑augmented generation, autonomous agents, prompt‑chains.
• Fine‑tune open‑weight models and evaluate commercially‑hosted LLM APIs (GPT‑4o, Claude, Gemini).
• Design robust knowledge‑graphs and vector‑search pipelines to surface supplier data.
• Collaborate with Product and Data Science to translate fuzzy ideas into shippable AI products.
• Promote agentic coding and AI‑first development practices across engineering teams.

Tech You’ll Touch

LangChain · Python · Kubeflow · Vertex AI / Bedrock / Anthropic APIs · Vector DBs (PGVector, Weaviate) · BigQuery · Looker · Kubernetes · Terraform · Elastic

What We’re Looking For

• 3+ years building ML/AI products, with recent focus on large‑language‑model applications.
• Strong Python skills and familiarity with modern ML stack (PyTorch, HuggingFace, TensorFlow-lite).
• Practical knowledge of vector search, embeddings, and retrieval systems.
• Experience shipping models to production and monitoring real‑world performance.

Nice‑to‑Have

• Contributions to open‑source LLM tooling or research publications.
• Experience with autonomous agent frameworks or reinforcement‑learning‑with‑feedback.

Why Join Us

• Direct access to OpenAI, Claude, and Gemini models for experimentation.
• Opportunity to shape an AI‑first culture and influence product roadmap.
• Hybrid/remote flexibility and competitive salary + equity package.

Application Process

Screening call → Technical deep‑dive → Take‑home prompt‑engineering task → Team fit → Offer.

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