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AI Solutions Engineer
Job in
Birmingham, West Midlands, B1, England, UK
Listed on 2026-01-02
Listing for:
MBN Solutions
Full Time
position Listed on 2026-01-02
Job specializations:
-
IT/Tech
AI Engineer
Job Description & How to Apply Below
AI Solutions Engineer (Contract) x 3
Contract (3 months) — Multiple positions
Day Rate: ~2 x £550 / day / 1 x £750 / day
Start - January 2026
Location:
UK-based, hybrid - must be commutable to London, Bristol, Glasgow or Birmingham
Travel:
Occasional UK travel for onsite workshops / client meetings (approx. 8–10 visits)
Deliver enterprise-level AI solutions with a strong focus on system design, prototyping, and practical delivery, working in a consultative, client-facing professional-services environment.
Key Responsibilities- Translate business problems into scalable AI / data-led solution designs
- Prototype and deliver enterprise-grade AI workflows and systems
- Work with large, multi-format data sets to extract value and insights
- Implement validation, bias-reduction and hallucination-control mechanisms
- Design indicators that trigger alerts or actions based on data patterns
- Collaborate with delivery and client stakeholders across projects
- Mid to senior level software engineering experience with strong hands on capability in Python and or another modern language, producing production quality code.
- Practical experience building solutions using generative AI and LLMs, including prompt and flow design, retrieval augmented generation, tool and function calling, evaluation, and iteration.
- Experience applying agentic AI patterns such as multi step orchestration and tool usage, planning and execution workflows, state management, and safety approaches appropriate to the use case.
- Strong background in system & solution design (enterprise scale)
- Hands-on delivery of AI / ML and data engineering solutions
- Experience processing large-volume, multi-source structured & unstructured data
- Ability to work with short- to mid-term customer-level datasets (incl. scanned / long-form docs)
- AWS ecosystem preferred (Sage Maker beneficial)
- Self-motivated, pragmatic, able to operate in consultative delivery environments
Apply for more information.
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