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