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Engineering
·
Stockholm
AI Engineer
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Epiminds is building the next generation of marketing systems.We’re live with 22 leading agencies managing 420 brands on a closed waitlist, with 1,300+ more waiting for access. Backed by a $6.6M Lightspeed-led round.Role Mission 🎯Turn cutting-edge AI research and agentic systems into reliable, production-ready capabilities that empower Lucy and her team. You will design, implement and scale models, orchestration, and evaluation pipelines so our autonomous agents perform safely, efficiently and transparently in real customer workflows.Core ResponsibilitiesAgent Development & Orchestration - Implement and iterate agent policies, task planners and chain-of-action orchestration. Improve how agents coordinate, delegate and surface their reasoning to users.Model Integration & Infrastructure - Integrate LLMs and multimodal models (inference and streaming) with robust, cost-effective serving infrastructure. Build observability into model usage, latency, and cost.Evaluation & Safety - Design automated and human-in-the-loop evaluation systems for agent performance, correctness and alignment. Implement safeguards, mitigation strategies and monitoring for risky behaviours.Data & Feature Engineering - Own pipelines for training, fine-tuning, retrieval-augmented generation (RAG) and vector search. Curate datasets and features that improve agent reasoning and factuality.Cross-functional Collaboration - Work closely with product, design and customer success to translate capabilities into memorable user experiences and measurable business impact.What We're Looking For3+ years working with production ML/AI systems, ideally with agentic or multi-agent architectures.Practical experience integrating LLMs and multimodal models (API-based or self-hosted) into applications.Strong software engineering skills (Python, TypeScript or similar) with production-grade system design and testing.Experience with retrieval systems, vector databases and feature stores preferred.Track record of shipping end-to-end systems: data,...
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