[All remote jobs](https://jobicy.com/jobs.md)[![Banyan Software logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/bf5d3bb2-221.png)](https://jobicy.com/company/banyan-software.md)[Banyan Software](https://jobicy.com/company/banyan-software.md) # Senior AI Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/banyan-software.md)ShareRemote from[Netherlands](https://jobicy.com/job-region/netherlands.md)SalaryEUR 5,292–7,559 / moDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished29 Sep 2026Apply before29 Oct 2026Listing views38Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. This Senior AI Engineer will own the architecture, implementation, deployment, and operational management of Anago’s production AI platform. The role centers on scalable AI, ML, and LLM systems for public-sector decision support, with strong requirements for security, governance, explainability, reliability, and cost control. The engineer will provide technical leadership for AI adoption while remaining highly hands-on with cloud-native infrastructure, MLOps/LLMOps, Python, Kubernetes, and CI/CD. It is a hybrid Netherlands-based role requiring regular presence in the Den Bosch office and professional English and Dutch communication. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a senior, end-to-end platform ownership role involving production AI systems that affect public-sector decisions and therefore require high standards for governance, auditability, and reliability. Candidates need deep software engineering expertise alongside practical MLOps, LLMOps, cloud infrastructure, and technical leadership experience. ## Salary analysis Estimated compensation compared with the broader EU market for similar roles. Estimated job medianBelow market€85,000EU market range€150k–€210k0€231k AI insightThe disclosed base-pay midpoint is €6,425.50 per month, or €77,106 annually. The salary_job_median is an approximate USD annualized equivalent for comparison purposes; the disclosed job salary remains €5,291.59–€7,559.41 monthly. The US market estimate for a Senior AI Engineer with production MLOps/LLMOps platform ownership is approximately $150,000–$210,000 annually, varying by geography, company stage, and scope. ## Core skills Skills and capabilities most closely associated with this opportunity. [AI platform architecture](https://jobicy.com/jobs?search_keywords=AI%20platform%20architecture.md)[machine learning](https://jobicy.com/jobs?search_keywords=machine%20learning.md)[large language models](https://jobicy.com/jobs?search_keywords=large%20language%20models.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md)[LLMOps](https://jobicy.com/jobs?search_keywords=LLMOps.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Azure](https://jobicy.com/jobs?search_keywords=Azure.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md) Sample interview questionsHow would you design an AI platform for public-sector applications where decisions must be transparent and auditable?I would establish traceability from source data through model version, prompt or feature configuration, evaluation results, and production output. The platform would include access controls, immutable logging, human-review workflows for high-impact decisions, documented model limitations, and monitoring for quality, drift, bias, latency, and cost. Describe how you would move an LLM solution from prototype to dependable production use. I would first define the user problem, risk boundaries, success metrics, and evaluation dataset. I would then implement versioned prompts and models, automated offline and online evaluations, guardrails, observability through tooling such as LangFuse or LangSmith, secure data handling, fallback behavior, and phased rollout with clear ownership and incident procedures. What is your approach to balancing innovation with security, reliability, and cost efficiency in AI systems? I use explicit architecture and operating standards early: approved models and providers, data classification, budget alerts, rate limits, caching where appropriate, automated testing, and service-level objectives. This lets teams experiment within controlled boundaries while ensuring that successful prototypes can be operated safely at scale. How have you used Kubernetes, CI/CD, and orchestration tools to operate machine-learning workloads? I would package services and jobs in reproducible containers, deploy them through version-controlled infrastructure and CI/CD pipelines, and use Kubernetes for scaling, isolation, and rollout control. For data and training workflows, I would use an orchestrator such as Airflow with monitored, retryable, parameterized pipelines and clear artifact versioning. How would you communicate an AI architecture decision to both engineers and non-technical public-sector stakeholders? I would explain the decision in terms of the user outcome, risks, safeguards, cost, and operational responsibilities before discussing implementation detail. For engineering teams, I would provide architecture diagrams, interfaces, assumptions, and trade-offs; for stakeholders, I would use plain language, examples, and a clear explanation of where human oversight remains necessary. Opportunity details ## About this role. Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. With a buy-grow-and-hold-for-life approach and a permanent capital base, Banyan acquires and grows companies worldwide, honoring founder legacies and helping portfolio companies modernize through shared AI expertise and operational discipline. Founded in 2016, Banyan operates more than 120 portfolio companies across North and South America, Europe, and APAC, and has appeared on the Inc. 5000 list for six consecutive years. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world. About Anago At Anago, more than 55 colleagues have been making a daily impact on society for over 25 years. Our software helps public organisations plan better, prioritise more effectively, and deploy capacity efficiently — enabling faster decisions, more effective use of resources, and better responses to societal challenges. Think: faster procedures for asylum seekers, improved preventive healthcare, and better allocation of education budgets. We have built a strong position in the Netherlands and are now actively expanding internationally, including into the United Kingdom. The coming years will be defined by scaling up, broadening our market presence, and further professionalising our commercial organisation. At Anago, we work on impact — combining smart working with a warm, collaborative culture. The Role We are already taking concrete steps to integrate AI applications into our products. As Senior AI Engineer you have end responsibility for designing, setting up and further developing Anago’s AI platform. As a front-runner you hold a strategic vision on AI adoption within the organisation and you put the AI structure in place. You build the foundation on which future AI, ML and LLM solutions within our organisation are developed, rolled out and managed. Because our software is used every day by public sector organisations, you steer on security, governance, continuity, cost efficiency and explainability. After all, AI functionality that supports decisions about people must be transparent, auditable and reliable. That is also your default way of building. You help give direction to how AI is applied within Anago, showing technical leadership and taking the lead on further AI adoption within Anago and towards our customers. This is emphatically not a research role; you spend most of your time designing, building, rolling out and managing AI systems that are used in production every day. Qualifications for Success * University (WO) level of education and thinking * At least 7 years of experience in software engineering, of which at least 3 years with AI, ML or LLM solutions in production environments * You live within a distance that makes being in the office in Den Bosch at least 50% of the time practical and sustainable over the long term * Demonstrable experience designing, building and managing business-critical AI platforms or AI solutions at scale * Experience with ML frameworks and MLOps tooling * Experience with LLMOps tooling such as LangFuse, LangSmith, LangChain or similar * Hands-on experience with cloud-native infrastructure and deployment, preferably Azure * Experience with Docker, Kubernetes, CI/CD pipelines and pipeline orchestration (e.g. Airflow) * Strong programming skills (for example in Python) and experience with production environments * Solid knowledge of software architecture, data structures, algorithms, API design and distributed systems * A strong software engineering foundation with attention to testability, maintainability and code quality * Experience with code reviews, automated testing, version control and modern software development processes * Strong communication skills in English and Dutch (minimum B1) * You take ownership of the solutions you build and feel responsible for the result in production * You are able to translate technical complexity into practical solutions and clear choices What can you expect from us? You will work in an organisation where substance, collaboration and long-term impact come first. We strongly believe in the possibilities of AI and are actively building an AI-first approach within our products and our organisation. * A key role in the development of our AI platform * A great deal of freedom and responsibility * Direct impact on product, technology and organisation * Working on AI solutions with social relevance * Working in an ambitious and technically strong team * Room for development, experimentation and innovation * A fixed base salary between €5,291.59 and €7,559.41, depending on experience, knowledge and skills * Net phone and internet allowance * 8% holiday allowance * 26 holiday days, with the option to buy 6 extra days or 13 ADV (reduced working hours) days * Flexible working hours and the possibility to work hybrid; our office is located close to ’s-Hertogenbosch central station, where you can work flexible hours. In addition, the possibility to work from home with a fully equipped home workspace including a work-from-home allowance * A non-contributory pension * Top-up of paid parental and partner leave to 100% * A delicious catered lunch at the office every day (for a small contribution) * Regular team outings, drinks and activities, through which we regularly give something back to society Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance. Please Note: Banyan Software does not accept unsolicited resumes or applications submitted via email, LinkedIn, or other direct channels. All candidates must apply through our official Careers site to be considered for employment. Applications submitted outside of our applicant tracking system will not be reviewed. Recruitment Notice Banyan Software may use artificial intelligence (AI) tools to assist in screening and/or assessing applicants during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request accommodation. Beware of Recruitment Scams We have been made aware of individuals fraudulently posing as members of our Talent Acquisition team and extending fake job offers. These scams may involve requests for personal information or payment for equipment. Protect yourself by following these steps: * Verify that all communications from our recruiting team come from an @banyansoftware.com email address. * Remember, employers will never request payment or banking information during the hiring process. * If you receive a suspicious message, do not respond — instead, forward it to [careers@banyansoftware.com](mailto:careers@banyansoftware.com) and/or report it to the platform where you received it. Your safety and security are important to us. Thank you for staying vigilant. 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