Forward Deployment Engineer

Netguru·PolandRemotesenior

In short

→Ingeniero de despliegue avanzado que construye y despliega sistemas de IA en clientes y equipos internos.
→Trabaja en campo con clientes, define problemas inciertos y entrega software funcional en días, no semanas.
→La mitad del tiempo la dedicarás a mejorar NetguruOS con patrones reusables desde el campo.

Fluent English required for client communication and documentation.

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What they ask for

✓5+ años de experiencia total, incluidos 3+ años construyendo y desplegando sistemas de IA.
✓2+ años en roles de ingeniería consultiva o pre-ventas con clientes.
✓Capacidad de liderar el ciclo completo: descubrimiento, alcance, construcción, producción e integración.
✓Experiencia en facilitar talleres de descubrimiento y traducir problemas empresariales ambiguos en soluciones técnicas.
✓Habilidad para comunicar conceptos técnicos a stakeholders no técnicos.
✓Entorno de trabajo ágil, adaptable a herramientas, seguridad y procesos del cliente.

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PythonTypeScriptAI systemsCopilotsAgentsRAG systemsAutomationInternal toolingNetguruOSMCPs

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Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software. We care about trust, taking ownership, and transparency. As a Certified B Corporation®, we offer a safe, inclusive, and productive environment for all team members, and we’re always open to feedback. If you want to work from home and be a full-time employee, great! We want to create the right opportunities for you. Over the past ten years, Netguru has changed the way people bank, listen to music, learn languages, and rent bicycles. Some of their clients include Fortune 500 companies and startups like solarisBank or senseFly . Netguru works with the largest brands in the world, such as Volkswagen , IKEA or Keller Williams . As the Forward Deployment Engineer you will sit at the intersection of client delivery, pre-sales, and internal AI tooling. You embed with a client (or an internal Netguru team), translate ambiguous problems into a defensible technical scope, and ship working AI systems to production - fast. Half of your time goes back into Netguru: every reusable pattern you spot in the field becomes a skill, agent, or MCP inside NetguruOS. This is a builder role, not an advisory one. Proof of work is a running system - not a deck. What you'll do: Client engagements: Embed temporarily into the team that owns the problem — client engineering org or internal Netguru team. Run discovery with stakeholders from CTO down to end-user. Run workshops, uncover requirements, clarify business needs, and translate ambiguous pain into a written technical scope you can defend. Analyze customer processes, identify bottlenecks, and propose digital or AI-driven improvements. Lead pre-sales on AI opportunities — scope, price, propose, close. Act as a trusted advisor, challenging assumptions and recommending better technical, product, or process approaches when appropriate. Communicate effectively with both technical and non-technical stakeholders, translating complex AI and engineering concepts into clear business language. Work comfortably within client environments, adapting to their tools, security requirements, workflows, governance models, and decision-making structures. Take ownership of outcomes, ensuring solutions deliver measurable business value, adoption, and long-term impact. Build Prototype in days, not weeks — working software, not slides. Write production-grade Python or TypeScript (or whatever the client runs). Ship AI-enabled workflows: copilots, agents, RAG systems, automation, internal tooling. Integrate with the client's existing stack. Design solutions that are not only technically sound but also usable, reliable, and aligned with real user workflows. Stand up evals, observability, and guardrails before going live. Own the path to production: security review, procurement, change management. Identify opportunities where AI can improve processes, reduce manual effort, accelerate decision-making, or create new product capabilities. Requirements Experience 5+ years total, including 3+ years hands-on building and shipping AI-assisted systems. 2+ years in a client-facing consulting or pre-sales engineering role. Proven full-cycle ownership: discovery → scoping → build → production → handoff. Comfortable with both technical and business stakeholders in the same engagement. Strong understanding of business processes and the ability to translate operational challenges into practical software and AI solutions.

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