> Markdown version of [/jobs/ext/4539139-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/4539139-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** Remobi - **Location:** Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Graph Database, Python (Programming Language), OpenAI, TypeScript, Enterprise Search, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Claude, Data Pipelines, Legacy Systems - **Published:** November 3, 2026 - **Apply:** https://www.jobleads.com/es/job/forward-deployed-engineer--spain--ed49679a1fbb45b5aa902cbffd554aeea ## About the Role * 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. ## Description 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.