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Artificial Intelligence Engineer

Job in Chester, Cheshire, CH1, England, UK
Listing for: Ascendion
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below

We are looking for an experienced AI Engineer to design, build, and deploy enterprise-grade AI applications.

  • The ideal candidate will have strong software engineering fundamentals with hands-on experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and cloud-based AI services. Experience with in Banking or Financial Services is highly desirable.
Key Responsibilities
  • Design and develop AI-powered applications using Large Language Models.
  • Develop AI agents and workflow automation solutions.
  • Create prompt engineering strategies and evaluation frameworks.
  • Develop REST APIs and microservices to expose AI capabilities.
  • Work closely with Data Engineering and Cloud teams.
  • Implement secure, responsible AI practices.
  • Monitor model performance and optimise latency and cost.
  • Participate in architecture discussions and code reviews.
Required Skills
  • Frameworks: Lang Chain, Lang Graph, Llama Index. Semantic Kernel (good to have), Crew AI (good to have)
  • AI Concepts: RAG, Vector Databases, Embeddings, Prompt Engineering, AI Agents, Function Calling, MCP (Model Context Protocol), Fine Tuning (preferred)
  • APIs: REST, Fast API, Flask
About Us

Ascendion is a global, leading provider of AI‑first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” [Engineering AI] methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration, to address critical challenges of trust, speed, and capital.

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