AI Solutions Engineer
Role details
Job location
Tech stack
Job description
Locatie Landelijk Opleidingsniveau WO Arbeidsvoorwaarden Uitstekend Vakgebieden AI & Gen AI Data Science Solliciteren
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 Hoofddorp + at client sites across the Netherlands Full-time or 4 days (32-36 hours) 1-2 days remote per week.
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.
Requirements
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., * 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, * Candidates must already reside in the Netherlands and have a valid work permit, * 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.
Benefits & conditions
- We are unable to provide visa sponsorship or a relocation package for this role
To help us better understand your experience, please clearly mention in your CV:
- which AI / LLM solutions you personally built
- what your own contribution was
- whether the solution was used in production or by end users
- and which technologies you worked with (for example Python, RAG, vector databases, Docker, AWS or Azure), * Salary between € 54,000 and € 70,000 gross p/y (full-time, 40 hours, including 8% holiday allowance). Where you land in that range depends on your experience and what you have independently built and deployed.
- 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