Forward Deployed Engineer

Remobi; España; A distancia; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Remobi LTD. is seeking a Forward Deployed Engineer who embeds with client teams to take an AI use case from idea to production.

You will be the engineer closest to the problem, scoping, building, shipping and ensuring adoption across client environments. You will work remotely within the EU, collaborating with a nearshore Remobi pod, delivering production-grade AI solutions including LLM integrations, retrieval pipelines and data plumbing while addressing security, governance and monitoring

Formación

• 6+ years building and shipping production software.
• 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.

Responsabilidades

• Work directly with client stakeholders to identify AI use cases worth building.
• Turn vague business problems into scoped, measurable deliverables with clear success criteria.
• Assess data readiness, integration points and constraints before anything is built.
• 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.
• Take solutions through client security, compliance and governance review.
• Put evaluation, monitoring and guardrails in place so the client can trust what goes live.
• 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.

Conocimientos

Python

TypeScript

Full-stack

APIs

Data Pipelines

Cloud Infra

Herramientas

AWS

Azure

GCP

Claude

Anthropic API

Descripción del empleo

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.