AI Solutions Engineer

Build AI systems that engineers actually rely on – not prototypes that stay in a repo, but solutions you design, build and deploy yourself – running in production at clients across infrastructure, energy and water.

At Semmtech, you work on problems where accuracy matters, because our clients work in environments where precision is paramount.

AI Solutions Engineer

The role

You work directly with clients. You visit them, ask the right questions, understand the problem and translate it into concrete solutions you build and deploy yourself.

This means building:

• systems that extract, analyse and structure information from complex documents
• knowledge graphs that connect data across sources
• AI solutions that can reason over information, not just process it

Some of what you build is tailor-made for a single client. Other solutions evolve into reusable products used across multiple organisations. Together with a product owner or innovation lead, you define the approach and make decisions on technology and architecture.

You take ideas from initial concept through to production-ready solutions that are used in practice.

Why this role stands out

• Your work doesn’t disappear into experiments. It goes live.
• You work at the intersection of engineering, product, and real world application.
• You have the freedom to shape both the solution and the approach.

What you will do

• Design and build AI-assisted semantic technology solutions (graphRAG)
• Build pipelines for document processing and information extraction
• Work with semantic models and structured data
• Containerise applications and deploy them in cloud environments (AWS / Azure)
• Turn ambiguous problems into working prototypes and applications
• Collaborate with consultants, developers and product owners
• Spot gaps in existing solutions and propose improvements

You in this role

You have a background in software engineering, data science or cloud solutions. You’re comfortable working on problems that aren’t fully defined and you take ownership of your approach – from design to deployment.

What you bring:

• 2–4 years of experience in software engineering, data science or cloud
• Strong Python skills
• Hands-on experience with LLMs, you have built with them, not just experimented
• You have taken something from idea to production before, regardless of scale
• You work independently and are comfortable with open-ended problems

A plus:

• Experience with GraphRAG or knowledge graphs
• Experience with Docker and cloud deployments (AWS or Azure)
• Affinity with semantic models or structured data

You do not need prior experience with knowledge graphs, GraphRAG or RDF. You will learn this here. What you bring is the technical foundation and the ability to pick up unfamiliar territory quickly.

What we offer

• Performance bonus and, depending on results, a profit sharing bonus
• 28 holidays
• Laptop (Windows or Mac) and mobile phone
• Mobility options to suit the way you work – lease car, NS business card or monthly mobility allowance.
• Budget for learning and development
• Friday is often a shared office day for collaboration and knowledge sharing
• Work on projects in energy, infrastructure and water

About us

Semmtech has grown from a start-up to a scale-up with around 50 colleagues.

We work with short communication lines and clear responsibilities.

Our clients operate in environments where information needs to be accurate, because mistakes have direct consequences. We help them structure and use their information so it works for both people and systems.

You work with colleagues who are technically strong and enjoy building solutions together.