About this role
Deerdata is a Stockholm-based consulting firm helping companies succeed with data, analytics, and AI. Our AI practice is growing fast, and we take ideas from strategy through to real, live systems in production.We’re looking for an AI Engineer to join our AI & Agentic team. You’re a strong software engineer at your core, and you’ve shipped AI systems people actually use: agents with real tool access, retrieval and memory layers that hold up against messy customer data, and assistants that face end users without a human babysitting them. You know that a demo is easy and production is hard, and you enjoy closing that gap.What you’ll do
Design and build customer-facing AI solutions, including agentic systems, GenAI applications, and voice/chat interfaces, from prototype to production
Own the engineering craft: clean, testable code, sensible architecture, CI/CD, observability, cost and latency awareness
Work directly with clients as a trusted technical partner, translating business problems into concrete AI solutions
Support other engineers on the team, and help shape our internal engineering standards and reusable components
Stay ahead of the frontier: evaluate new models, frameworks, and patterns, and bring the right ones into our workWe’re looking for someone who has
5+ years of professional software engineering experience, with a strong grounding in Python and modern backend or full-stack development
Hands-on experience building AI-powered products in production, ideally with LLMs, agent frameworks (LangGraph, LlamaIndex, ADK or similar), RAG, and vector and graph databases
Comfort with at least one major cloud (Azure, AWS, or GCP) and modern deployment practices (containers, IaC, CI/CD)
A pragmatic mindset: you care about accuracy, latency, cost, safety, and maintainability, not just what looks good in a notebook
Strong communication skills in English, and the confidence to work directly with client stakeholders. Swedish is good to have, and might be required at some of our customer projectsNice to have
Experience with real-time voice AI
Background in data engineering or MLOps (dbt, Airflow/Dagster, MLflow, evaluation pipelines)
Open-source contributions, technical writing, or speaking at conferences
Experience in a consulting or client-facing settingWhat we offer
A seat in a small, sharp team where you’ll build real systems for real users, not slideware
Hybrid way of working
30 days of vacation, occupational pension, and wellness allowance
Curious, kind colleagues who like to roll up their sleeves and co-create