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Jobs / Jobgether

AI Process Forward Deployed Engineer

Jobgether·Francemid

In short

  • →Ingeniero de IA que implementa y optimiza automaciones en producción para clientes enterprise.
  • →Trabaja con Java, React, orquestación de flujos y agentes de IA en entornos distribuidos.
  • →Destaca por guiar despliegues completos desde cero hasta mejora continua con autonomía.

Proficiency in English required for customer and cross-team collaboration.

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In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

The questions they'll ask you

1. ¿Cómo estructurarías el despliegue de un flujo de trabajo con agentes de IA en un entorno de banking con alta regulación?

2. Describe un caso donde adaptaste un agente de IA para integrarse con un sistema legado usando APIs.

3. ¿Qué métricas usarías para demostrar mejoras en un flujo automatizado después del handoff?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓Experiencia en despliegues en producción en entornos enterprise.
  • ✓Capacidad para depurar integraciones y build agents personalizados.
  • ✓Conocimiento práctico de IA: prompt engineering, agentes, gestión de contexto.
  • ✓Habilidades para comunicar técnicas a equipos técnicos y ejecutivos.
  • ✓Experiencia en entornos ambiguos con autonomía y toma de decisiones.
  • ✓Familiaridad con Java, React y sistemas distribuidos.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

JavaReactBPMNAI agentsWorkflow orchestrationAPIsLegacy systemsDistributed systemsClustersPrompt engineering

Who should you write to at Jobgether?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Process Forward Deployed Engineer based in France. This is a high-impact engineering role focused on bringing AI-powered process automation into enterprise production environments. You’ll own customer deployments from initial workflow setup through measurable improvement and successful handoff. The role combines hands-on software engineering, distributed systems, AI agents, workflow orchestration, and customer-facing technical leadership. You’ll work across Java services and React interfaces while configuring platforms, debugging integrations, and developing custom solutions. Your work will directly influence product evolution, deployment practices, and reusable engineering patterns. The environment is global, remote, collaborative, and designed for engineers who are comfortable operating with significant autonomy and ambiguity. Accountabilities Own the end-to-end deployment journey, from the initial process file through a production workflow that continuously improves based on measurable results. Establish successful customer outcomes, including achieving an operational workflow and active improvement loop within the initial deployment period. Build and customize product capabilities, including features, AI agents, and skill files, while addressing bugs and technical limitations encountered in real-world deployments. Configure platform environments, including clusters and integrations, and troubleshoot complex failures across distributed systems and enterprise technology stacks. Develop custom agents and integrations when standard platform capabilities do not adequately address customer requirements. Work closely with engineering, architecture, business, and customer stakeholders to drive organizational adoption and turn initial deployments into sustainable capabilities. Capture lessons learned, document successful implementation patterns, and build a repeatable deployment playbook that improves future implementations. Train and enable customer teams so they can independently operate the solution and act on ongoing improvement results after the handoff. Contribute engineering insights from customer deployments directly back into product development and platform evolution. Travel occasionally when required to support customer or team engagements. Requirements Proven experience delivering and operating software in enterprise production environments, with a strong understanding of governance, resilience, reliability, and operational requirements at scale. Strong software engineering capabilities, including the ability to debug integrations, build custom agents against APIs or legacy systems, configure platform clusters, and work across distributed systems. Experience working with Java-based services and React interfaces, or the ability to quickly operate across comparable technology stacks. Practical production experience with AI technologies, including AI-powered applications, prompt engineering, context management, agent testing, and evaluating integration trade-offs. Ability to understand and explain generated BPMN workflows and technical concepts to both engineering teams and business stakeholders. Strong customer and stakeholder communication skills, with the ability to adapt technical discussions for engineering, architecture, and business leadership audiences. Demonstrated ability to operate effectively in ambiguous environments, make sound technical and operational decisions, and document emerging best practices. Experience working in customer-facing engineering, solutions engineering, or professional services environments is a plus. Familiarity with regulated industries such as financial services, healthcare, or insurance is advantageous. Production experience with agentic systems or AI-integrated workflows is a plus. Contributions to shared platforms or open-source projects are valued.

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