AI Engineer/Architect – LLM, RAG & Applied AI

Do you want to work with AI in real projects – from idea to implementation?

At Knowit Connectivity, we’re growing within AI and are looking for more people to join us. We know that people come with different strengths, so instead of looking for one perfect profile, we’re open to different backgrounds.

You might be more focused on architecture and design, or you might prefer working closer to implementation. Either way, if you’re interested in working with AI in practice, we’d like to hear from you.

As a consultant with us, you’ll work with developing AI solutions together with our clients and internally. The work can vary from early ideas and design to building and integrating solutions.

Depending on your experience, you could be working with:

• Designing AI solutions and system architecture

• Working with LLM-based applications

• Building solutions using RAG or similar approaches

• Developing agent-based workflows

• Integrating AI into existing systems

• Hands-on experience working with LLMs in applications

• RAG (Retrieval-Augmented Generation)

• Agent-based solutions

• Python or similar

• APIs and system integration

You don’t need to have experience in all of the above as we will offer opportunities to learn and grow within Knowit.

You’re interested in how AI can be used in real applications and enjoy working hands-on, turning ideas into something that actually works. You might like working with the bigger picture, or prefer being closer to implementation.

You’ll be working closely with a team that has a strong focus on learning and developing within this area, where sharing knowledge is a natural part of everyday work. You’ll also work closely with our customers and support them in moving forward on their journey.

We believe you’re someone who wants to keep developing over time. This isn’t a role with a fixed end point – it’s more of an ongoing learning journey where you grow together with the team.

At Knowit, you’ll be part of a team where people support each other and share knowledge openly. We believe that development happens over time – not just through courses, but by working together, trying new things, and learning along the way.

You’ll have the opportunity to work with different types of projects and customers, which gives you both variety and the chance to grow in different directions. If you want to deepen your current skills or explore new areas, we encourage that.

Right now, we’re also building up our capabilities within AI, which means you’ll be part of a team that is shaping how we work with these technologies going forward.

At the same time, we value a healthy balance between work and life, and a culture where you can be yourself and feel part of a community.