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UCubiops.com logo

ubiops.com

The Hague

Full-stack AI Engineer.

FULL TIMEDATA & ML€60K–90K/YR

The job

We are looking for a Full-stack AI Engineer who wants to play a key role in the adoption of sovereign AI in the Netherlands. As part of our Customer Success team, you will work on projects for customers in the public sector, healthcare and critical infrastructure. These range from proof-of-concepts using the latest AI techniques, such as LLM chatbots and RAG systems, to implementing and managing the UbiOps platform in production environments.

Are you an all-round engineer with knowledge of GenAI, software engineering and infrastructure? (We will teach you the product knowledge.) Are you a strong and creative communicator who thinks in solutions? You enjoy sharing your expertise with customers just as much as building new things together with the team.

You will be part of a multidisciplinary team of experts with plenty of room to explore new technologies. You have the freedom to shape your own role and to pick up the responsibilities that add the most value to our company.

Your tasks & responsibilities

  • Design and define the (functional) scope of UbiOps implementations at customers, often requiring integration with existing (cloud) infrastructure and IT systems
  • Design, develop and implement AI solutions (such as LLM chatbots and RAG systems) on the UbiOps platform, together with our customers
  • Coordinate UbiOps installation projects at customers, including setting up cloud and on-premises environments and integrating with existing IT infrastructure
  • Act as the technical point of contact for customers: solve problems, give demos, workshops and trainings, and ensure smooth adoption of the platform
  • Translate customer feedback into product improvements and work with our development team on building and testing new features
  • Support our sales team with your technical knowledge of the product, customers and market

Your profile

  • Bachelor’s degree in Computer Science, AI/Data Science or another technical discipline. A Master’s degree is a plus
  • 3+ years of experience in software engineering, AI/ML engineering, customer success or a similar role
  • Proficient in Python, Linux and containerization (Docker/Kubernetes), and experienced in working with APIs
  • Familiar with GenAI and MLOps practices and technologies
  • Excellent communication and training skills, able to explain technical topics clearly to customers
  • Fluent in English, Dutch is a big plus
  • Willing to travel to customers for projects within the Randstad
  • Experience at a software company and/or start-up/scale-up is a plus
Note: For this position, we will only consider candidates who are currently residing and/or working in the Netherlands. If you do not fulfill all the requirements but believe you would be a good fit, we encourage you to apply.

What we offer

  • Salary range for a full-time position (1 FTE) based on your experience: €60,000 - €90,000 per year

  • 25 vacation days

  • Potential 13th month, depending on company results

  • Performance bonus and generous expense allowance

  • Being part of an international, smart, diverse and inclusive team in a fast-growing scale-up, where you build and sell a great product

  • Room for self-development and learning new skills and technologies

  • Flexible working hours, good coffee, a healthy lunch and office snacks

  • The hardware and software you need to perform your work

  • Regular team activities, outings and drinks

  • Freedom to work from the office and home and flexible working hours

  • Office in an excellent location in The Hague, next to Laan van NOI train station

  • Membership of The Hague Security Delta, The Hague Tech, and YES!Delft community of start-ups and scale-ups

  • 25 vacation days per year (for full-time employment)

  • Pension scheme by Bright New Day 

  • Stock appreciation rights

  • Travel allowance via an NS Business Card or mileage allowance of €0.23 net per kilometer

Pay
€60k–90k/yr
Where
The Hague
Work
Not stated
Type
Full time
Posted
25 Mar, 2022
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