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WorkplaceBuddy

Bouw de AI-machine achter onze commerci&euml;le groei!Ben jij op zoek naar een rol waarin AI, automatisering en marketing samenkomen? Wij zoeken een AI Growth Engineer die systemen bouwt waarmee we automatisch nieuwe kansen ontdekken, verrijken en kwalificeren.WorkplaceBuddy zorgt ervoor dat medewerkers van organisaties soepel met veranderingen op de digitale werkplek omgaan. Dat doen we met onze Teams app, waar een AI-gedreven chatbot in zit. Vanuit de chatbot worden video nudges naar relevante groepen medewerkers verzonden, zodat ze beter met hun digitale werkplek aan de slag gaan. Hierdoor zijn mensen tijdig up-to-date en blijven ze bij.Bij WorkplaceBuddy helpen we organisaties om Microsoft 365, Copilot en AI succesvol te adopteren. Nu zoeken we iemand die dezelfde technologie inzet om onze eigen commerci&euml;le groei te versnellen. Je krijgt de ruimte om bij marketing en commerci&euml;le processen mee te denken en kansen te spotten om automatiseringen te implementeren. Dit kan zijn van slim marketingmateriaal in elkaar zetten tot prospects identificeren en benaderen, van klantcontact optimaliseren tot een second company brain managen.Jouw verantwoordelijkheden<ul><li>Bouwen van AI-agents die nieuwe prospects identificeren;</li><li>Ontwikkelen van slimme workflows voor leadgeneratie en leadkwalificatie;</li><li>Koppelen van AI-tools, databronnen en CRM-systemen;</li><li>Experimenteren met nieuwe AI-platformen en automatiseringen;</li><li>Verrijken van prospectdata met externe bronnen;</li><li>Ontwikkelen van gepersonaliseerde outbound-campagnes;</li><li>Samenwerken met sales om te bepalen welke leads daadwerkelijk waardevol zijn;</li><li>Continu meten en optimaliseren van conversies.</li></ul>Het profiel dat wij zoeken<ul><li>Je hebt ervaring met AI-tools en automatisering;</li><li>Je hebt een technische mindset en werkt graag datagedreven;</li><li>Experimenten draaien en optimalisaties doorvoeren zit in je aard;</li><li>Je vindt het leuk om commerci&euml;le problemen op te lossen;</li><li>Je bent nieuwsgierig naar nieuwe technologie;</li><li>Je bouwt liever iets dan dat je er alleen over praat;</li><li>Ervaring met SaaS, B2B lead generation, Microsoft-ecosysteem en AI-agentontwikkeling is een pr&eacute;;</li><li>Je spreekt vloeiend Nederlands en spreekt goed Engels; </li><li>Je bent fulltime beschikbaar (rol is voor 32 uur).</li></ul>Wat wij bieden<ul><li>Werken in een snelgroeiende, dynamische, tech scale-up;</li><li>Veel ruimte om te leren en directe impact op onze commerci&euml;le groei;</li><li>Marktconform salaris;</li><li>Hybride werken;</li><li>Samenwerken met gedreven collega&rsquo;s en gezellige vrijdagmiddagborrels.</li></ul>Over WorkplaceBuddyBij WorkplaceBuddy stap je in een snelgroeiende scale-up waar je elke dag blijft leren. Je krijgt veel vrijheid om je eigen idee&euml;n uit te proberen, verantwoordelijkheid te nemen en jezelf creatief &eacute;n professioneel te ontwikkelen. We geloven in een ondernemende mindset: zie je kansen, dan pak je ze. In een omgeving waar samenwerken centraal staat en plezier minstens zo belangrijk is als resultaat, krijg jij alle ruimte om impact te maken en mee te groeien met WorkplaceBuddy.Arbeidsvoorwaarden:<ul><li>Reiskostenvergoeding</li><li>Vrijdagmiddagborrel</li><li>Werk vanuit huis</li></ul>Werklocatie: Fysiek

AI Growth Engineer

Avanade

Job Description
 <div>Introduction:
 
 
To support the needs of our clients, Avanade is actively recruiting and interviewing for the role outlined below as we continue to build on another year of growth in our business. Now, with more than 60,000 employees around the globe, we are positioning our organization to effectively prepare for the future. What does this mean for you? We encourage you to apply and interview for this role without the need to decide now. This allows you to connect with leaders and hiring managers at a pace that works for you and when roles become available, you will be the first to know.
 
 
Our talented AI Engineering team is made up of globally recognized experts - and there's room for more analytical, innovative, client-driven data professionals. If you're passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.
Key Responsibilities: 
 
Model Development and Deployment:
<ul><li>Evaluate and select appropriate Generative AI models based on business needs, ensuring alignment with use case requirements.
</li><li>Leverage Azure ML,OpenAI APIs, and other Generative AI technologies based on a given design.
</li><li>Implement best practices for model development, training, and deployment pipelines.
</li><li>Create and deploy pipelines for model training, evaluation, and monitoring inAzure ML.
</li><li>Optimize model performance for latency, scalability, and accuracy, ensuring compliance with regulatory and organizational standards. 
</li></ul> 
AI Integration and Innovation:
<ul><li>Integrate Generative AI solutions with enterprise applications, APIs, and data sources.
</li><li>Leverage Azure AI model catalog (Microsoft, OpenAI, Mistral, Meta, etc) APIs to implement conversational AI, document summarization, image generation, or other innovative use cases.
</li><li>Explore advancements in AI/ML technologies, recommending tools, frameworks, and practices to enhance the organization's AI capabilities. 
</li></ul> 
Collaboration and Leadership:
<ul><li>Partner with cross-function al teams, including data engineers, cloud architects, and business analysts, to align AI/ML solutions with business objectives.
</li><li>Communicate complex (Gen) AI concepts to non-technical stakeholders, fostering a culture of innovation and understanding</li></ul></div>
 Qualification
 <div>Technical Skills:
<ul><li>Experience Delivering GenAI (LLMs) solutions, preferably on Azure.
</li><li>Familiar withusing Azure AI library APIs(e.g., GPT, Codex, DALLE) &amp; other frameworks (e.g. Databricks Mosaic) to integrate Generative AI into business workflows.
</li><li>Proficient with at least one programming language, such as Python, PySpark, R, SQL, etc.
</li><li>Knowledge of big data technologies (e.g., Spark, Databricks), TensorFlow, PyTorch are a plus.
</li><li>Knowledge of Azure Cloud services (e.g., Azure AI Platform, Azure Data Factory, Azure Synapse, Azure Cognitive Services) and their integration with ML workflows is a plus.
</li><li>Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection is a plus. 
</li></ul> 
Soft Skills:
<ul><li>Excellent problem-solvin g and analytical thinking skills.
</li><li>Strong communication and presentation skills, with the ability to translate technical concepts into business outcomes.
</li><li>Proven ability to manage multiple stakeholders and prioritize tasks in a fast-paced environment. 
</li></ul> 
Preferred Qualifications:
<ul><li>Experience withGenAI Large Language Models (LLMs) solution development and fine-tuning for domain-specifi c tasks.
</li><li>Certifications in Azure or Databricks (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional).
</li><li>Familiarity with AI ethics, bias mitigation, and explainability techniques.
</li><li>Prior experience in implementing AI/ML solutions in industries such as healthcare, finance, or retail is a plus.</li></ul></div>

Junior AI Engineer - Based in Netherlands

<div>
 
 Introduction
 
 
 
 To support the needs of our clients, Avanade is actively recruiting and interviewing for the role outlined below as we continue to build on another year of growth in our business. Now, with more than 60,000 employees around the globe, we are positioning our organization to effectively prepare for the future. What does this mean for you? We encourage you to apply and interview for this role without the need to decide now. This allows you to connect with leaders and hiring managers at a pace that works for you and when roles become available, you will be the first to know.
 
 
 Our talented AI Engineering team is made up of globally recognized experts - and there's room for more analytical, innovative, client-driven data professionals. If you're passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.
 
 
 
 Key Responsibilities
 
 
 
 Model Development and Deployment:
 
 
 <ul>
 <li>
 Evaluate and select appropriate Generative AI models based on business needs, ensuring alignment with use case requirements.
 </li>
 <li>
 Leverage Azure ML,OpenAI APIs, and other Generative AI technologies based on a given design.
 </li>
 <li>
 Implement best practices for model development, training, and deployment pipelines.
 </li>
 <li>
 Create and deploy pipelines for model training, evaluation, and monitoring inAzure ML.
 </li>
 <li>
 Optimize model performance for latency, scalability, and accuracy, ensuring compliance with regulatory and organizational standards.
 
 
 </li>
 </ul>
 
 AI Integration And Innovation
 
 
 
 <ul>
 <li>
 Integrate Generative AI solutions with enterprise applications, APIs, and data sources.
 </li>
 <li>
 Leverage Azure AI model catalog (Microsoft, OpenAI, Mistral, Meta, etc) APIs to implement conversational AI, document summarization, image generation, or other innovative use cases.
 </li>
 <li>
 Explore advancements in AI/ML technologies, recommending tools, frameworks, and practices to enhance the organization's AI capabilities.
 
 
 </li>
 </ul>
 
 Collaboration And Leadership
 
 
 
 <ul>
 <li>
 Partner with cross-functional teams, including data engineers, cloud architects, and business analysts, to align AI/ML solutions with business objectives.
 </li>
 <li>
 Communicate complex (Gen) AI concepts to non-technical stakeholders, fostering a culture of innovation and understanding
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Experience Delivering GenAI (LLMs) solutions, preferably on Azure.
 </li>
 <li>
 Familiar withusing Azure AI library APIs(e.g., GPT, Codex, DALLE) &amp; other frameworks (e.g. Databricks Mosaic) to integrate Generative AI into business workflows.
 </li>
 <li>
 Proficient with at least one programming language, such as Python, PySpark, R, SQL, etc.
 </li>
 <li>
 Knowledge of big data technologies (e.g., Spark, Databricks), TensorFlow, PyTorch are a plus.
 </li>
 <li>
 Knowledge of Azure Cloud services (e.g., Azure AI Platform, Azure Data Factory, Azure Synapse, Azure Cognitive Services) and their integration with ML workflows is a plus.
 </li>
 <li>
 Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection is a plus.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Excellent problem-solving and analytical thinking skills.
 </li>
 <li>
 Strong communication and presentation skills, with the ability to translate technical concepts into business outcomes.
 </li>
 <li>
 Proven ability to manage multiple stakeholders and prioritize tasks in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience withGenAI Large Language Models (LLMs) solution development and fine-tuning for domain-specific tasks.
 </li>
 <li>
 Certifications in Azure or Databricks (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional).
 </li>
 <li>
 Familiarity with AI ethics, bias mitigation, and explainability techniques.
 </li>
 <li>
 Prior experience in implementing AI/ML solutions in industries such as healthcare, finance, or retail is a plus.
 </li>
 </ul>
</div>

ScanTrust

Senior Data EngineerFounded in 2014, we are a fast-growing, award winning scaleup with offices around the globe. Our talented team consists of amazing and colorful individuals who can declare, &ldquo;I love where I work!&rdquo; and actually mean it. We built the leading connected products platform for companies that depend on selling physical products in an increasingly connected world. We enable active brand protection, supply chain awareness, and direct consumer engagement benefits by securely binding billions of physical products with online identities, and processing millions of scans every day for these products. Our solutions help some of the world&rsquo;s biggest brands to maintain brand integrity, deliver valuable consumer insights, and unlock growth potential. We are very international with a presence in Lausanne, Shanghai, Amsterdam, Ukraine, Thailand, New Zealand and the US. Find out more atScantrust is currently looking for a Senior Data Engineer (based in Amsterdam) with the following scopeKey Responsibilities of our Senior Data Engineer:<ul><li>Develop and expand our existing data platform.</li><li>Make architectural design decisions and communicate tradeoffs clearly with senior management.</li><li>Continuously improve and maintain data ingestions &amp; pipelines from internal and external systems.</li><li>Collaborate with business and analytics teams to design insightful visualizations, define KPIs, and support ad-hoc analytical needs.</li><li>Work with product and technical teams to gather requirements for data storage and processing architecture that can handle our growing needs.</li><li>Prepare us for the age of agentic AI.</li></ul>Experiences &amp; Education<ul><li>5+ years of data engineering experience, including migration projects</li><li>3+ years of SQL experience</li><li>3+ years of Python</li><li>3+ years of experience with a reporting system (Tableau, Looker, PowerBI, etc)</li><li>Creating and maintaining operations and financial data pipelines</li><li>Managing AWS cloud data services (Glue, DMS, Athena preferred)</li><li>Setting up and managing a cloud data warehouse (Redshift preferred)</li><li>Hands-on working with Airflow or an equivalent orchestrator in production (Dagster, Prefect)</li><li>Solid understanding of data modelling: dimensional modelling, slowly changing dimensions, and event-sourced schemas</li></ul>Other Desired Skills<ul><li>Knowledge of best practices and IT operations in an always-up, always-available service</li><li>Excellent problem solving and troubleshooting skills</li><li>Process oriented with great documentation skills</li><li>Excellent oral and written communication skills with a keen sense of customer service</li><li>Experience with AI tooling. (experience developing MCP servers or other AI connectors is a big plus)</li></ul>Scantrust Offers<ul><li>A small but fast-growing international company</li><li>Laid-back office in the heart of Amsterdam @ the Hacker Building</li><li>Fun International team with a sense of purpose</li><li>We celebrate diversity, care about our work-life balance and value emotional safety</li></ul>We are a people-first company so your resumes are read by real humans. So we appreciate you not sending us AI-generated CV's or application letters.Job Type: Full-timePay: &euro;4.500,00 - &euro;7.000,00 per monthExperience:<ul><li>SQL: 3 years (Preferred)</li><li>Data engineering: 3 years (Preferred)</li></ul>Work Location: Hybrid remote in 1017 Amsterdam Centrum

Senior Data Engineer

Abel

AI Engineer (Hybrid, Randstad) &mdash; get matched, skip the applicationsAlt titles per board if you want variation: 'AI Engineer &mdash; Netherlands (Hybrid)', 'AI / ML Engineer &mdash; matched to vetted companies'Short summary (for board preview fields)Tell Abel what you want in your next AI role and get matched with the right companies in days, not months. No applications, no noise. Hybrid roles across the Randstad.Full description (English &mdash; primary)Find your next AI role in days, not months.Abel is an AI hiring concierge for AI engineers. Instead of firing off applications into the void, you tell Abel what you want &mdash; the problems you want to work on, the stack, the comp, the way you like to work &mdash; and Abel matches you with companies that actually fit. No spray-and-pray applications. No recruiter noise.We are matching AI engineers with hybrid roles across the Randstad right now.What we look for:<ul><li>Hands-on experience building with modern AI/ML &mdash; LLMs, ML pipelines, or applied AI in production</li><li>Strong engineering fundamentals (Python and at least one production codebase you are proud of)</li><li>You want a role that fits, not just any role</li></ul>What you get:<ul><li>Matched with vetted companies that fit your goals, not a pile of cold listings</li><li>Hybrid roles based in the Randstad (Amsterdam, Rotterdam, Utrecht, Den Haag)</li><li>One conversation, then the right introductions &mdash; you stay in control the whole way</li></ul>How it works:<ul><li>Tell Abel what you want</li><li>Get matched with companies that fit</li><li>Meet only the ones worth your time</li></ul>Join Abel: https://getabel.ai/Salaris: &euro;3.058,84 - &euro;12.000,00 per maandWerklocatie: Fysiek

Senior AI engineer

BridgeFund

<div>Do you love scaling Kubernetes and excited by the future of AI? At BridgeFund, we&rsquo;re looking for a Platform Engineer to help build the cloud-native infrastructure behind our automated lending and agentic OS. If you&rsquo;re eager to learn, adapt, and build reliable platforms for both developers and AI agents, join us
Your role
You run and improve our cloud-native platform day to day. You work independently with minimal guidance, you're a trusted resource for less-experienced colleagues, and your impact lands within Engineering and the teams you support. This is a hands-on role for an engineer who already runs production Kubernetes with confidence and treats AI agents as part of their toolchain.
Our whole business, from a loan application to a funding decision, runs on a cloud-native platform on AWS: EKS, Istio, Flux GitOps, Terraform, Helm, and our own in-house-built cloud infrastructure operator that provisions cloud resources (queues, buckets and more) declaratively, straight from Kubernetes. On that same platform runs our agentic AI operating system and the AI infrastructure behind it. And yes &mdash; you'll build with agentic coding tools every day. Most of our platform team already does.
Your responsibilities
<ul><li>Operate and extend our AWS/EKS platform, Istio service mesh, Flux GitOps, KEDA autoscaling, OPA Gatekeeper, cert-manager, Velero and ALB ingress, across dev, acceptance and production.</li><li>
Run and extend our in-house cloud infrastructure operator that lets teams provision cloud resources (queues, buckets and more) declaratively, straight from Kubernetes.</li><li>
Build and maintain shared CI/CD templates and self-service tooling so teams ship with less friction.</li><li>
Own reliability and observability (Prometheus, Grafana, Loki, Tempo) for your area, and turn incidents into runbooks so they don't happen twice.</li><li>
Solve complex - but largely bounded or recurring - platform problems, balancing short- and long-term trade-offs.</li><li>
Automate the toil: if something is manual and repetitive, your instinct is to make the platform (or an agent) do it.</li></ul> 
What you bring<ul><li>
Minimum 4 years of platform / DevOps / SRE experience, and you can run Kubernetes in production with minimal guidance (EKS a plus).</li></ul><ul><li>
Strong infrastructure-as-code and GitOps discipline &mdash; Terraform, Helm, Flux or Argo CD &mdash; and solid CI/CD (GitLab a plus).</li><li>
You're genuinely AI-native: agentic coding tools (Claude Code, Cursor, and friends) are already part of how you build, and you're excited to push that frontier rather than sceptical of it. This is the mindset we care about most.</li><li>
A security- and reliability-first instinct: you think about blast radius, least privilege and observability before things break.</li><li>
A first-principles thinker and an owner: you finish things, you write the runbook, and you warn affected teams before they feel the change.</li><li>
Bonus: hands-on experience with AI/LLM infrastructure &mdash; vector stores, RAG, LLM observability, MCP, or Bedrock/OpenAI.</li></ul>
Don't tick every box? Tell us anyway &mdash; we hire for trajectory and judgement, not a checklist. That's usually how the best engineers start here.
Who we are
While small businesses drive the economy, when it comes to financing, traditional systems still move at the speed of paper. We founded BridgeFund in 2018 to change that. We've stripped away the bureaucracy: an entrepreneur applies in just five minutes, and our advanced technology processes the data quickly and efficiently. By combining cutting-edge automation with real human logic, we make financing decisions that are both fast and fair. We grew 55% last year and have proudly fast-tracked over &euro;700 million in loans to entrepreneurs. Our next goal? To scale our data capabilities by making our platform even sharper, ensuring support for the next generation of entrepreneurs
What we offer
A competitive salary between &euro;6,540 and &euro;7,000 based on 40 hours per week. Growth is intentional here. We use an internal competency framework to help you track your progress and continuously evolve in your role.<ul><li>
A hybrid model, requiring three days per week in our office.</li><li>
6% pension via ASR Doen Pensioen</li><li>
25 paid vacation days and 8% holiday allowance</li><li>
Two weeks per year of remote work from abroad</li><li>
Travel allowance of &euro;0.23 per kilometer (even if you cycle)</li><li>
&euro;40 Alleo budget per month for things like TrainMore, Uber, or a day out</li><li>
BridgeFund Academy for personal growth, learning, and coaching</li><li>
Annual Learning &amp; Development budget of &euro;1,500 for your professional growth</li><li>
Modern workspace with a MacBook, open areas, quiet zones, and zero ceiling tiles</li><li>
Bridge Day: one extra day off for something that matters to you</li><li>
Company boat The Royal Ted for team events or private use</li><li>
Sports activities such as boxing classes and a running club</li><li>
50% paid lunches</li><li>
Free snacks: healthy and not-so-healthy</li><li>
Friday drinks, quarterly parties, and team outings</li><li>
BridgeFun(d) bar with DJ booth, stage, and karaoke</li></ul>
Curious?
Good. That is usually how the best engineers start here at BridgeFund. Apply directly or reach out to Anna-Maria at recruitment@bridgefund.nl. We would love to hear what you would build next.</div>

Platform Engineer

Nebius

<div>
 
 
 Why work at Nebius
 
 
 
 
 
 
 Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
 
 
 
 
 
 
 Where we work
 
 
 
 
 
 
 Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&amp;D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&amp;D team.
 
 
 
 
 
 
 The role
 
 
 
 
 
 
 We&rsquo;re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform. We have a lot of tasks on Golang and little less on Java and Python.
 
 
 You&rsquo;re welcome to work from our office in Prague, Berlin or in Amsterdam, hybrid or remotely.
 
 
 
 
 
 
 In this position, your responsibility will be to:
 
 
 
 Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.
 
 
 
 
 
 
 We expect you to have:
 
 
 
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience
 </li>
 <li>
 Excellent knowledge of Golang or you are ready to quickly switch to this programming language
 </li>
 <li>
 Ability to write reliable code and dig into complex problems
 </li>
 <li>
 Teamwork-oriented approach
 </li>
 </ul>
 
 
 
 
 
 It would be an added bonus if you had:
 
 
 <ul>
 <li>
 Experience designing high-load and scaling services
 </li>
 </ul>
 
 
 
 
 
 We conduct coding interviews as part of the process.
 
 
 
 
 
 
 
 What we offer
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and comprehensive benefits package.
 </li>
 <li>
 Opportunities for professional growth within Nebius.
 </li>
 <li>
 Flexible working arrangements.
 </li>
 <li>
 A dynamic and collaborative work environment that values initiative and innovation.
 </li>
 </ul>
 
 
 
 
 We&rsquo;re growing and expanding our products every day. If you&rsquo;re up to the challenge and are excited about AI and ML as much as we are, join us!
 
</div>

Senior Backend Engineer

Explore 211+ Ai growth engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.

211 ai growth engineer jobs In Amsterdam

AI Growth Engineer

Junior AI Engineer - Based in Netherlands

Junior AI Engineer - Based in Netherlands

Senior Data Engineer

Senior AI engineer

Platform Engineer

Senior Backend Engineer