AI Engineer/Architect – LLM, RAG & Applied AI

We’re building real-world AI systems – not just prototypes.

If you’ve worked hands-on with LLMs and want to take the next step, we should talk.

At Knowit Connectivity, we’re expanding our AI capabilities and looking for experienced engineers and architects who want to design and build production-grade AI solutions together with our clients.

About The Role

As a senior consultant, you’ll work across the full lifecycle of applied AI – from early exploration to deployed, scalable systems used in real environments.

You’ll take a leading role in shaping solutions, both technically and strategically, and collaborate closely with clients, developers, and other stakeholders.

Typical work includes:

• Designing end-to-end architectures for AI-powered systems
• Building and deploying LLM-based applications in production
• Implementing RAG pipelines over large and complex data sources
• Developing agent-based workflows and orchestration logic
• Integrating AI capabilities into existing systems and platforms
• Evaluating, optimizing, and scaling AI solutions (latency, cost, quality)
  
  
  

What We’re Looking For

We’re primarily looking for senior profiles with hands-on experience in applied AI.

You likely have experience with several of the following:

• Building applications using LLMs (e.g. OpenAI, open-source models)
• Retrieval-Augmented Generation (RAG) and vector databases
• Designing production-ready systems (APIs, pipelines, integrations)
• Python or similar programming languages
• Working with frameworks like LangChain, LlamaIndex, or similar
• Prompt engineering, evaluation, and iteration in real-world use cases
  
  
  

Experience with system architecture, cloud platforms, or data engineering is a strong plus.

Who You Are

You’re someone who:

• Has moved beyond demos and wants to build systems that are actually used
• Enjoys both the bigger picture (architecture, trade-offs) and hands-on implementation
• Is comfortable taking ownership and guiding technical direction
• Wants to stay at the forefront of how AI is applied in practice
  
  
  

You don’t need to fit a perfect profile – we value different strengths, whether you lean more towards architecture or implementation.

Why join us

At Knowit, you’ll be part of a team that helps organizations move forward in their AI journey – from early exploration to real, implemented solutions.

We work closely with our clients to understand their needs, identify opportunities, and turn ideas into practical applications. Whether it’s defining a strategy, designing architectures, or building working systems, you’ll play a key role in helping others succeed with AI.

What you can expect:

• Working hands-on with clients to solve real business problems using AI
• Supporting organizations at different stages of their AI maturity – from first use case to scaled solutions
• Collaborating in a strong engineering culture where knowledge sharing is part of everyday work
• Opportunities to influence both client solutions and how we grow our AI capabilities internally
• A variety of projects and industries, giving you both breadth and depth over time
  
  
  

We’re building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI.

Interested?

If you’ve already built something real with LLMs – and want to push further – we’d like to hear from you.