Salary guide: Approximately €80,000–€100,000 annually, depending on experience, + equity.
Candidates must be based in Stockholm or willing to relocate for an on-site role.
About the company:
Our client is an early-stage startup building agentic AI for intellectual property and legal teams. Its software helps leading IP firms and Fortune 500 companies analyse large document collections, find supporting evidence and complete complex research more efficiently.
About the role:
Join as one of the first engineers outside the founding team and take ownership of the product’s AI core. You’ll build multi-agent reasoning, retrieval and evaluation systems that help legal professionals work with reliable, source-backed results.
This suits a product-minded engineer who enjoys moving independently from customer problem to deployed capability, with substantial influence over architecture and engineering standards.
What you’ll get to build and influence:
Design multi-agent systems for patent research, infringement analysis and related legal workflows
Build retrieval pipelines across large collections of patents and scientific literature
Develop evaluation datasets and frameworks to measure accuracy, grounding and reliability
Improve agent behaviour through context engineering, tool use and state management
Own features from customer discovery through implementation, deployment and production monitoring
Work across Python and TypeScript, including the infrastructure supporting your systems
Diagnose production issues involving retrieval quality, latency, cost and agent execution
Ship frequently and learn directly from customer use
Establish practical standards for building, evaluating and releasing AI capabilities
What we’re looking for:
Experience personally shipping agentic AI systems or LLM-powered features to production
Professional software development experience in both Python and TypeScript
Practical experience building production retrieval-augmented generation (RAG) systems
Experience designing LLM evaluations, including datasets, metrics and analysis of results
Hands-on infrastructure experience with vector databases, distributed compute or cloud orchestration
The ability to take an AI feature from initial specification through deployment
Strong engineering fundamentals and judgement about customer value
Clear ownership of technical decisions and measurable outcomes
Willingness to work on-site in Stockholm
The strength of your work matters more than a particular number of years. Be ready to explain what you built yourself, how it performed and what you changed when it failed.
Additional experience that would be valuable:
LegalTech, intellectual property or document-intensive research products
Enterprise security requirements, including access controls and data residency
Supporting SOC 2 compliance
Early-stage product development and direct customer collaboration
Why join our client?
Own core AI architecture at an early stage of the business
Work on substantial reasoning and retrieval problems with real professional users
Influence both product direction and engineering practices
Receive salary and equity
Access unlimited Claude Code for AI-assisted development and experimentation
See your work reach customers through frequent production releases
Location:
Stockholm, Sweden. This is an on-site position. Relocation assistance and visa sponsorship availability will need to be confirmed.
Sounds interesting? Apply below with your CV or LinkedIn profile outlining your achievements. Highlight a production AI system you personally built, who used it and how you measured its performance.
For questions, please contact: [info@fullstacktalents.com](mailto:info@fullstacktalents.com)
We are looking forward to hearing from you!
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Visa sponsorship and relocation: not stated in the ad.
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