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.