At a Glance
- Tasks: Design and build scalable data pipelines and AI applications using cutting-edge technologies.
- Company: Innovative business heavily investing in AI and modern data platforms.
- Benefits: Competitive salary, collaborative environment, and opportunities to influence AI strategy.
- Other info: Mentorship opportunities and excellent career growth in a dynamic setting.
- Why this job: Join a team shaping the future of AI with real-world applications.
- Qualifications: 3-5+ years in AI Engineering, strong Python and SQL skills required.
The predicted salary is between 80000 - 100000 £ per year.
Are you passionate about building real world AI solutions rather than just experimenting with the latest tools?
We're working with an innovative business that's investing heavily in AI and modern data platforms.
They're looking for an AI Engineer to play a key role in designing, building, and deploying production-grade AI applications that will directly shape the future of the business.
This is an exciting opportunity to work across the full AI lifecycle, from scalable data engineering through to Generative AI, Retrieval-Augmented Generation (RAG), vector search, and agentic AI workflows.
- What you'll be doing
- Designing and building scalable data pipelines using Python, Py Spark, SQL and Databricks
- Developing AI powered applications using LLMs, embeddings, vector databases and RAG architectures
- Building prompt engineering workflows, evaluation frameworks and AI guardrails
- Integrating AI services into customer-facing products and internal platforms
- Working closely with Product, Data and Engineering teams to deliver high-impact AI solutions
- Supporting machine learning model deployment and productionisation
- Implementing monitoring, observability and data quality across AI systems
- Mentoring junior engineers and helping shape engineering best practice
- Contributing to the future AI strategy and architecture of the business
What we're Looking For
- 3-5+ years' experience in AI Engineering, Data Engineering or Machine Learning Engineering
- Strong commercial experience with Python and SQL
- Hands on experience with Databricks and modern ETL/ELT pipelines
- Experience building production AI or machine learning solutions
• Commercial knowledge of
- Retrieval Augmented Generation (RAG)
- Prompt Engineering
- Embeddings & Vector Search
- Experience working with Azure or GCP
- Strong understanding of data engineering, modelling and data quality
- Excellent communication skills with both technical and non technical stakeholders
- Nice to Have
- Agentic AI experience
- Lang Chain, Llama Index or Semantic Kernel
- Pinecone, Weaviate, FAISS or Azure AI Search
- Docker, Kubernetes or CI/CD
Why Apply?
This is a fantastic opportunity to join a business that's genuinely investing in AI rather than simply talking about it.
You'll work on cutting edge technologies, influence technical direction, collaborate with highly talented engineers, and help build AI products that deliver real business value.
If you're looking for a role where you can combine modern data engineering with the latest AI technologies in a collaborative environment, I'd love to hear from you.
Apply today or message me directly for a confidential chat.
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Data & AI Engineer employer: Primus Connect
Join a dynamic and innovative company that prioritises collaboration and employee growth, making it an excellent employer for a Data Engineering Manager. With a strong focus on mentorship, you will have the opportunity to lead a growing team while working in a vibrant office environment in central London/Guildford, complete with a free onsite restaurant and gym. This role not only allows you to shape impactful data platforms but also fosters a culture of rapid delivery and teamwork, ensuring your contributions are valued and recognised.
