Building real Generative AI that truly improves customer experience, not in theory, but in production. At Odido, you can design, deploy and scale LLM-driven solutions in a human, forward-thinking environment where your work directly helps millions of customers and colleagues every day.

Dit ga jij doen

At Odido, we’re on a mission to become the most customer-driven telco in the Netherlands.
Everything we build in IT, data and AI ultimately serves one goal: helping people better, faster and more human.

We believe technology only matters when it serves people. When systems work, colleagues can work. And when colleagues can work, customers experience clarity, trust and real progress. That’s how we build the Customer Champion of Dutch telecom.

At Odido, we stand for Human, Optimistic and Forward-thinking.
Not as a slogan, but as the way we design technology, collaborate in teams and make decisions every day.

Please note:
You must already live in the Netherlands, preferably within ~30 km of The Hague, and you’ll work at least 3 days per week from our Den Haag office.

The role

As a Generative AI Engineer, you design, build and scale GenAI solutions that directly improve customer experience, automate internal processes and unlock new digital capabilities across Odido.

You operate across the full GenAI lifecycle, from data preparation and prompt engineering to production deployment, monitoring and continuous optimisation.
You ensure solutions are scalable, secure, reliable and responsibly deployed in a real enterprise environment.

Working closely with data engineers, platform teams, product leads and business stakeholders, you translate rapidly evolving GenAI capabilities into stable, production-ready services that create measurable value.

Your scope includes:

• Designing and implementing GenAI solutions using LLMs for conversational, analytical and automation use cases
• Developing and optimising prompts, chains and agents for consistent, high-quality output
• Building RAG pipelines integrating vector databases and enterprise data sources
• Creating production-grade GenAI services using Python frameworks
• Deploying and scaling workloads on cloud-native AWS environments
• Applying MLOps and LLMOps best practices: versioning, evaluation, monitoring and cost control
• Embedding responsible AI principles such as privacy, security, explainability and bias mitigation
• Collaborating across data, platform and product teams to integrate GenAI into Odido’s digital ecosystem

This is a role for someone who understands that real AI impact happens in production, not in demos.

The manager & leadership style

You’ll work with a manager who believes strong engineering grows from trust, clarity and coaching.
Someone who creates space for experimentation, protects focus when priorities compete and helps you turn innovation into sustainable delivery.

No micromanagement.
Clear expectations, honest feedback and real ownership of outcomes.

About the team

You’ll join a multidisciplinary AI & Data engineering environment within Odido’s Digital-IT organisation.

A team where:

• Engineers, data specialists and product leads collaborate closely
• Experimentation and production go hand in hand
• Learning, craftsmanship and knowledge-sharing are part of daily work
• Openness, responsibility and mutual trust define how we operate

In short: a team that builds real AI products, not slide decks.

At Odido, we believe in people. We personally review every application. No keyword filters, no automated decisions.
That’s why we ask you to briefly share why this role at Odido fits your experience and ambition. If it’s a match, we’ll notice. Keep your motivation letter short, human and real. 

We still hire people, we do not yet hire your AI…;-)

Together we are

We are Odido, the new provider of mobile, fiber optic and TV. And with almost 2,000 colleagues, we show that telecom can be improved. Because technology is for everyone. Wherever you come from, wherever you go. With Odido everyone participates in the digital world. That is our ambition. Everyone at Odido helps to build a brand that is human, optimistic and progressive.  

Is that really something for you? Then we might fit well together. 

This is what we stand for

Our name - you can also read it from back to front - consists of different shapes. Which together are one. Because that's how we look at the world around us. As a place where people, no matter how different, move forward together. We're there for each other. We always look at opportunities. We celebrate diversity and are committed to an inclusive work environment with equal opportunities for all. That sounds good of course. But we don't stop at fine words: at Odido we are a recognized Top Employer. A confirmation that we are proud of. 

What we offer.

• Good salary and variable bonus scheme;
• Hybrid working;
• A progressive pension scheme;
• 30 vacation days (if you work for us full-time) and an extra day off after Ascension Day;
• Redeemable holidays;
• An Odido subscription;
• Real growth opportunities;
• Personal annual learning budget and over 200 digital training and courses;
• Workshops, learning weeks, annual ski trip, fun outings and parties.

You bring this

Some things you cannot learn at university — you possess them by nature.
You are curious, analytical and grounded. You balance innovation with reliability.
You take ownership, communicate clearly and stay calm when complexity increases.

You care about real impact, not just technical elegance.
And you enjoy building solutions that genuinely help colleagues and customers.

These are traits we look for in every role, at every level of Odido.

Must-have's

1. 2–5 years of experience as a Software Engineer, ML Engineer or similar AI-focused role
2. Strong Python development skills and experience building AI services
3. Hands-on experience with LLMs and GenAI frameworks (LangChain, LlamaIndex, OpenAI APIs or similar)
4. Experience with API development (FastAPI, Flask) and production services
5. Solid understanding of prompt engineering, embeddings, vector search and RAG architectures
6. Experience deploying cloud-native solutions (AWS preferred, Azure or GCP acceptable) including Docker/Kubernetes
7. Strong communication skills in English and ability to operate in collaborative, cross-functional environments

Nice to have's

• Experience fine-tuning or adapting LLMs (LoRA, PEFT, instruction tuning)
• Familiarity with vector databases (Milvus, OpenSearch, FAISS, S3-based storage)
• Experience with multimodal GenAI (text, image, speech)
• Knowledge of MLOps / LLMOps tooling (MLflow, LangFuse, LangSmith)
• Affinity with telecom, customer service or enterprise automation domains

Learn every day

At Odido we learn every day. All of us. You are responsible for your own development. That is why you decide how, what and when you learn. We have more than 200 digital training courses with which you can work on professional and personal goals. We don't do old-fashioned performance reviews and assessments. You keep your manager and colleagues informed of your goals and progress. You are in control. 

Press on the button

Are you as excited about Odido as we are? Then we are probably a good match. We are looking forward to meet you! You can apply via the application button. Done in a minute!