Contract | Fully remote, anywhere in Europe The role As a Forward Deployed Engineer, you embed with a client team and own getting an AI use case from idea to production. You're the engineer who sits closest to the problem: you scope it, build it, ship it and make sure it sticks.

Location:
Remote within EU nearshore regions

What you'll do
Specify
* Work directly with client stakeholders to find the AI use cases worth building, and the ones that aren't.
* Turn vague business problems into scoped, measurable deliverables with clear success criteria.
* Assess data readiness, integration points and constraints before anything is built. Execute
* Build production-grade solutions hands-on: LLM integrations, agents, retrieval pipelines, data plumbing and the services around them.
* Lead and direct your Remobi nearshore pod, splitting work and reviewing their output.
* Ship in short cycles and show working software early. Authorise
* Take solutions through client security, compliance and governance review.
* Put evaluation, monitoring and guardrails in place so the client can trust what goes live. Sustain
* Hand over cleanly: documentation, runbooks and knowledge transfer to client teams.
* Spot the next problem worth solving and bring it back to Remobi as an expansion opportunity.
* Feed what you learn back into NAOS and the wider Remobi community. What you'll bring
* 6+ years building and shipping production software, with strong Python and/or TypeScript.
* Solid full-stack range: APIs, data pipelines, cloud infrastructure (AWS, Azure or GCP) and CI/CD.
* Comfort working in messy,



real enterprise environments: legacy systems, tight security, imperfect data. Applied AI
* Hands-on experience putting LLM-based solutions into production, not just prototypes.
* Working knowledge of retrieval (RAG), tool use and agents, prompt design and model evaluation.
* Experience with at least one major model provider's API (Anthropic, OpenAI or similar). Consulting
* You can sit with a non-technical stakeholder, understand what they actually need, and say no when you should.
* Clear written and spoken English; you can explain trade-offs to an engineer and an executive in the same day.
* You own outcomes. When something is blocked, you unblock it.
* Experience leading or mentoring a small team of engineers. Nice to have
* Background in a client-facing engineering role: consultancy, solutions engineering or a previous FDE position.
* Experience in regulated or industrial sectors such as energy, manufacturing or financial services.
* Knowledge graphs, semantic data or enterprise search.
* Experience with Claude and the Anthropic platform.
* Fluency in a second European language. How you'll be measured
* Outcomes shipped: AI use cases live in production against agreed success criteria.
* Client trust: stakeholder satisfaction and repeat requests for your involvement.
* Account growth: follow-on work and pod headcount generated from your engagements.
* Pod delivery: quality and pace of the nearshore team you lead.
* Contribution: improvements you bring back to our NAOS Framework and the Remobi community. #J-18808-Ljbffr

📌 Forward Deployed Engineer (Huelva)
🏢 Remobi
📍 Huelva