Consultant | GenAI Engineer

Amsterdam Data Collective; Amsterdam; On-site; EUR 52,000 - 76,000; Full time

Benefits offered by this job

Salary and bonus structure

Opportunity to invest and become co‑op

Weekly lunches

Friday drinks

Sports events

Job summary

Amsterdam Data Collective invites a GenAI Engineer to join its Technology & Innovation team, applying state-of-the-art GenAI, Python, cloud platforms, and MLOps to build scalable AI solutions. You’ll collaborate with consultants, data engineers, and AI specialists to deliver impact-driven results, own end-to-end pipelines, and help clients translate strategy into technical execution.

This junior role offers real responsibility, mentorship, and a culture that values experimentation, ownership,

Qualifications

• 2+ years of hands-on data science and AI experience, ideally in client-facing consulting or project work
• Master’s degree in a quantitative field (AI, Econometrics, Mathematics, Statistics, Physics, CS, Engineering)
• Strong GenAI knowledge (LLMs, embeddings, vector search, RAG, agentic patterns) and practical judgment
• Stay current with fast-moving tools, and share learnings with the team
• Proficiency in Python with GenAI/LLM development and frameworks (LangChain, AutoGen, LlamaIndex); cloud experience (AWS/Azure/Google Cloud) is a plus
• Fluency in English; Dutch a plus

Responsibilities

• Implement state-of-the-art data and GenAI applications at scale
• Develop and deploy data science solutions using Python, Docker, and cloud platforms
• Develop and implement custom AI systems for clients (agentic workflows, RAG-based systems)
• Design end-to-end AI pipelines for scalability, efficiency, and long-term impact
• Monitor models to manage drift and retraining needs
• Bridge business strategy and technical execution with stakeholders
• Stay ahead with ML Ops, GenAI, and cloud technologies

Skills

Python

GenAI

LLMs

Cloud

LangChain

Docker

Communication

English

Education

Master’s degree in a quantitative field

Tools

LangChain

AutoGen

LlamaIndex

AWS

Azure

Google Cloud

Docker

Job description

Who we are

ADC is a Boutique Data and AI consultancy with offices in the Netherlands, Sweden, and Denmark, and an award-winning data design studio (CLEVER°FRANKE) embedded in the group. We help organisations turn data and AI into real impact, leading a mission to accelerate the responsible use of Data and AI. We bring the full data value chain under one roof: from strategy and engineering to analytics, data science, and design. This way, we turn complex data into clear roadmaps, scalable foundations, AI-powered tools, and experiences people actually enjoy using.

We are a collective of statisticians, designers, PhDs, and agentic AI engineers with deep expertise in the industries we serve: financial services, life sciences, healthcare, the public sector, retail, agriculture, and transportation. We do not arrive with generic tools and a slide deck. We walk in, work alongside the people who know the organisation best, and build solutions that actually run.

We call ourselves Wayfinders. Our clients trust us to navigate complexity and make it real: turning ambition into action in environments where the margin for error is small and the consequences of getting it wrong are real, for customers, employees, supply chains, and the bottom line.

Build and Scale the AI Solutions That Drive Real Business Impact

Our Technology & Innovation team is growing, and we are looking for a GenAI Engineer who is curious and eager to grow with us. As a GenAI Engineer you will uncover scalable AI solutions that create real business value, while applying state-of-the-art GenAI, Python development, cloud platforms, and modern MLOps for CI/CD and monitoring.

You’llbe part of a true collective, working alongside consultants, data engineers, and AI specialists to deliver impact-driven solutions.

Whereyou'llmake an impact

Hands-on Technical Delivery

• Implementstate-of-the-artdata & GenAI applications at scale
• Develop and deploy data science solutions using Python, Docker, and leading Cloud platforms (AWS, Azure, Google Cloud)
• Develop and implement custom AI systems for our clients (e.g. agentic workflows, RAG-based systems, domain specific AI assistants)
• Design end-to-end AI pipelines, ensuring scalability, efficiency, and long-term impact

Shape Client Success

• Build robust monitoring frameworks to keep models performing at their best, proactively managing drift and retraining needs
• Bridge the gap between business strategy and technical execution, collaborating closely with decision-makers to align AI solutions with their goals
• Participate in client meetings and working sessions, helping to explain technical concepts in a clear way

Grow & Innovate

• Stay ahead of the curve by exploring the latest in ML Ops, GenAI, and Cloud technologies
• Be part of a fast-growing, ambitious team where your ideas andexpertisemake a difference

What YouBring

At ADC,we’renot just consultants:we’releading experts in Data & AI using ourexpertisein AI, Data, Cloud, and Agentic Engineering. What unites us is a shared way of working: breaking down complex challenges tochange howorganisationsoperate.

• 2+ years of hands-on experience applying advanced data science and AI methods and implementing technical solutions to solve real business problems, ideally gained in client-facing consulting or project-based work
• A Master’s degree in a quantitative field, such as AI, Econometrics, Mathematics, Statistics, Physics, Computer Science, Engineering, or related field
• A strong grasp of the modern GenAI landscape (LLMs, RAG, embeddings and vector search, tool/function calling, agentic patterns, and protocols like MCP) and the judgment to know when to apply each
• You stay on top of a fast-moving field by experimenting with new tools and models, bringing AI into your own way of working, and eager to share what you learn
• Proficiency in Python, with hands-on experience in GenAI/LLM application development and AI frameworks (such as LangChain, AutoGen, or LlamaIndex). Experience with cloud platforms from leading providers (AWS, Microsoft Azure, or Google Cloud) is a plus
• The ability to communicate with anyone in the room, explaining complex analytical concepts clearly to non-technical audiences such as business managers, product owners, and commercial leads
• A proactive and entrepreneurial mindset: you’re eager to solve problems, innovate, and drive change
• A collaborative spirit: You believe the best solutions come from diverse perspectives and supporting each other to raise the bar
• Fluency in English, proficiency in Dutch is a plus

This is an ambitious junior role, and we don’t expect you to have mastered everything from day one. If you’re excited about the topics above and believe you can add value or want to learn more, we’d be very happy to receive your application.

What’sin it for you

At ADC,you’repart of the collective from day one. We want you to grow, experiment, and shape your own path while working on projects that matter. That means:

• Impact you can point to: You’llsee your work in action and our projects change how organisations make decisions
• Real responsibility, real support: You’llwork alongside experienced experts from the start, learning by doing with mentorship and feedback built in
• The freedom to try new things: Spot a better way to build something? A smarter process? We want people who challenge the status quo
• Collective Week: Once a year, we go on a workation with the whole ADC team. We work on pro bono projects, explorenew ideas, and make the kind of memoriesyou’llwant to talk about
• Ownership opportunities: We offer a competitive salary and bonus structure, plus the opportunity to invest in the company and become a co-owner once specific conditions are met. We mean it when we say collective
• A vibrant culture: Daily lunches, Friday drinks, sports, social events: a cultureyou’llnotice from day one

*Amsterdam Data Collective is an equal opportunity employer. To shape a better future, we value diversity and promote equality. No characteristics are discriminated against, asindicatedin Directive 2000/78/EC. We encourage and welcome all applications.Additionalarrangements or adjustments to support your application can be discussed further.