Solutions Architect / Fullstack Developer: Agentic Interfaces & AI
Solutions Architect / Fullstack Developer: Agentic Interfaces & AI
Location: Malmö, Sweden
About the assignment
We're building an agentic runtime platform for multiple customers (multitenant) for advanced video systems. An LLM is one selectable execution layer alongside deterministic code, with device level perception running on cameras and tool servers.
The interaction design is still experimental. We're looking for someone who can implement it and find the right concept.
You will define how users understand, control, moderate, and trust agents acting against real infrastructure: cameras, recording devices, body worn devices, where a faulty action can have physical, legal, or ethical consequences. You'll write the interaction contract between the runtime platform and its frontend.
What you'll build
The client/runtime protocol. We believe AG UI will be central. You'll own the conformance specification: event mapping, shared state schema, reconnect and replay semantics, and define which changes to the runtime environment are required to meet the spec.
Moderated flows. Human in the loop approval for actions with significant consequences: approve, reject, edit, standing consent, and post hoc review. Must work regardless of whether the call originates from a model, a sandboxed script, a sub agent, or a remote agent, including when no human is present.
Guided flows. Context aware entry points, "plan first, confirm later" workflows, and schema driven clarification handling. An empty prompt box facing a large federated tool surface is a failure state, not a product.
Clarity in a hybrid execution model. Users must always know whether a result came from reasoning, perception, or computation, and with what confidence, cost, and latency, even when no model was involved. It should also be possible to turn such a run into a deterministic, saved script.
Security as part of the user experience. Policy denials, failed tool authorizations, tenant boundaries, and untrusted tool output must be visible and understandable, never silently absent.
We believe this is about an interface that's 100% dynamic
The system should build its interface based on what decisions the AI makes from the camera feeds, not a static UI cluttered with buttons. You'll need technical depth, but also a genuine feel for interaction design and the "feeling" of the interface.
Who we're looking for
A creative problem solver with broad competence: a solutions architect and fullstack developer with a strong weighting toward AI. You're deeply versed in the AI world and thrive in projects where we know what we want to achieve, but not always exactly how, or whether it's even feasible. You're driven, proactive, and resilient. A thick skin matters, as does the ability to engage directly with stakeholders.
Must have
At least 5 years of fullstack development experience with a frontend weighting
Hands on experience with TypeScript and React
Experience designing and implementing microfrontends or independently deployable modules
Driven and proactive, comfortable engaging directly with stakeholders
Strong Python and AI skills. This is the heaviest weighting
Nice to have
Experience with AG UI (a big plus), MCP, A2A, or other event driven protocols
Experience defining protocols and interaction contracts
Backend development in Python
Design for uncertainty and AI driven outcomes
Human in the loop solutions
Security in AI and multitenant systems
Fluent UI v9 or an equivalent design system
Streaming based user flows and state management
Practical details
Location: Malmö, Sweden
Start: as soon as possible
Duration: at least 6 months, with the overall project running for several years
Onsite at the client at least 4 days per week