Senior Software Engineer (Agentic AI) - Fulltime - EMEA

About the Role

We're looking for a Senior Software Engineer who wants to own problem spaces, not just complete tasks. You'll be pointed at areas like "bank reconciliation for legacy ERP customers" and expected to figure out what to build, how to build it, and ship it. You'll make technical decisions that set precedents and shape the systems future engineers inherit.

This is a role for someone who thrives in ambiguity. We won't hand you detailed specs — we'll share user problems and what we know, and trust you to go figure it out.

**This is a contract-to-hire role. We are looking for full-time employee to join us.

What You'll Do

• Own entire problem spaces end-to-end: from understanding the user problem to shipping the solution
• Make meaningful technical decisions — choosing patterns, setting architectural direction, and building systems that last
• Work autonomously with minimal oversight, identifying what to build next rather than waiting to be told
• Ship frequently and iterate based on real usage, not theoretical perfection
• Communicate decisions and progress clearly in writing, working async-first across the team[下午 5:52]##

What We're Looking For

You're a great fit if you:

• Treat the product like it's yours — you don't wait for permission to fix something or build something that needs building
• Think about the people using what you build, and ship useful over elegant
• Communicate well in writing and stay productive without needing constant real-time feedback
• Get energized by unclear problems — you ask clarifying questions and move forward, rather than stalling
• Have picked up new languages, frameworks, and domains throughout your career and enjoy doing so

Technical Requirements

• Solid backend fundamentals — you've built and shipped production systems
• Data integration experience across APIs, webhooks, file ingestion, ETL, or similar
• Strong SQL and relational database skills

Nice to Have

• Workflow orchestration experience (Airflow, Prefect, LangGraph, or similar)
• Graph database or complex data modeling experience
• Previous early-stage startup experience
• LLM/agent experience — tool-use patterns, agents that call APIs, document processing
• Production agent ops experience — evals, tracing, observability, prompt versioning

Our Stack (All Learnable)

• Golang (backend — Go monolith architecture)
• Vue/Nuxt (dedicated SSR frontend, though this role is backend-heavy)
• GCP, PostgreSQL
• Agent orchestration frameworks (e.g., LangGraph)

We care far more about your ability and willingness to learn than whether you already know our exact stack.

What Success Looks Like

In your first 90 days, you'll have:

• Shipped multiple features to production
• Started identifying what to build next on your own
• Made technical decisions that improved the product — including ones we might not have thought of
• Earned the trust to own a workstream independently
• Established at least one pattern or practice that makes the codebase better

About Cue

Cue is an early-stage company building AI agents for enterprise supply chains. We sit across ERP, email, and operational systems — connecting the dots and producing a signal the moment something needs attention. Instead of people hunting for problems across five systems, the right issue arrives with full context, ready for an agent to act on.

Our agents handle real operational work: order intake, collections, PO matching, freight invoice audit, and payment reconciliation — for companies that make and move physical products. We're working with design partners across industries including fashion, industrial goods, and consumer brands, reducing process time by up to 75%.

We're a small, async-first team based around Copenhagen, and we're building something that matters. If you want to ship fast, work with real enterprise data, and help define what AI-powered supply chain operations look like — we'd love to hear from you.