
AI Process Forward Deployed Engineer
Key Skills
Job Description
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 Netherlands.
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.
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Own the end-to-end deployment journey, from the initial process file through a production workflow that continuously improves based on measurable results.
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Establish successful customer outcomes, including achieving an operational workflow and active improvement loop within the initial deployment period.
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Build and customize product capabilities, including features, AI agents, and skill files, while addressing bugs and technical limitations encountered in real-world deployments.
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Configure platform environments, including clusters and integrations, and troubleshoot complex failures across distributed systems and enterprise technology stacks.
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Develop custom agents and integrations when standard platform capabilities do not adequately address customer requirements.
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Work closely with engineering, architecture, business, and customer stakeholders to drive organizational adoption and turn initial deployments into sustainable capabilities.
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Capture lessons learned, document successful implementation patterns, and build a repeatable deployment playbook that improves future implementations.
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Train and enable customer teams so they can independently operate the solution and act on ongoing improvement results after the handoff.
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Contribute engineering insights from customer deployments directly back into product development and platform evolution.
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Travel occasionally when required to support customer or team engagements.
Requirements
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Proven experience delivering and operating software in enterprise production environments, with a strong understanding of governance, resilience, reliability, and operational requirements at scale.
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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.
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Experience working with Java-based services and React interfaces, or the ability to quickly operate across comparable technology stacks.
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Practical production experience with AI technologies, including AI-powered applications, prompt engineering, context management, agent testing, and evaluating integration trade-offs.
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Ability to understand and explain generated BPMN workflows and technical concepts to both engineering teams and business stakeholders.
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Strong customer and stakeholder communication skills, with the ability to adapt technical discussions for engineering, architecture, and business leadership audiences.
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Demonstrated ability to operate effectively in ambiguous environments, make sound technical and operational decisions, and document emerging best practices.
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Experience working in customer-facing engineering, solutions engineering, or professional services environments is a plus.
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Familiarity with regulated industries such as financial services, healthcare, or insurance is advantageous.
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Production experience with agentic systems or AI-integrated workflows is a plus.
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Contributions to shared platforms or open-source projects are valued.
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Ability and willingness to use the product as part of the role.
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Willingness to travel occasionally as required.
Benefits
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Fully remote and flexible working environment.
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Home office budget and support for coworking spaces.
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Flexible time off.
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Competitive, location-based compensation with transparent salary structures.
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Equity through a Virtual Stock Option Plan where applicable.
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Locally tailored healthcare benefits.
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Global mental wellbeing support through Modern Health.
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Live Well Lifestyle Spending Account supporting health, family, personal interests, experiences, and financial wellbeing, launching in 2026 and scaling to €1,000 annually from 2027.
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Retirement and pension plans, often including company contributions.
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Life and disability insurance where applicable.
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Annual learning and development budget of up to $/€/£1,000 for courses, certifications, books, and other self-directed learning.
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Annual company kickoff events, team offsites, local gatherings, and connection budgets that support meaningful in-person collaboration.
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Inclusive global environment with opportunities to work alongside diverse teams and cultures.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Core Responsibilities
You will own the end-to-end deployment of AI-powered process automation, managing the journey from initial workflow setup to production handoff. You will also configure platform environments, develop custom agents, and train customer teams to ensure sustainable operational success.
Requirements
The role requires proven experience delivering software in enterprise production environments, including strong proficiency in Java, React, and distributed systems. Candidates must also possess practical experience with AI technologies and the ability to communicate complex technical concepts to diverse stakeholders.
Benefits
- Fully remote and flexible working environment
- Home office budget
- Flexible time off
- Equity through a Virtual Stock Option Plan
- Locally tailored healthcare benefits
- Global mental wellbeing support
- Lifestyle spending account
- Retirement and pension plans
- Life and disability insurance
- Annual learning and development budget
About Jobgether
Industry: Internet Marketplace Platforms
Company size: 11-50 employees
Jobgether is a career navigation platform built for senior professionals competing in the remote job market. Hiring systems were designed for volume and keyword matching, not for 15 or 20 years of nonlinear experience. That structural mismatch is why strong profiles get filtered out before a human ever sees them. Our platform diagnoses where a search is breaking, corrects how experience is positioned, and connects professionals to the companies where their background creates real value. The goal is not more applications. It is the right visibility in the right places. Our mission is to ensure no senior professional remains invisible in the global remote market, not because they lack the skills, but because the system failed to read them correctly.