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Lynx Recruitment Limited

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Technical Consultant

Posted Updated
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Salary: £60,000 - 60,000 per year

Requirements:
  • 2:1 or above in an IT/Technology-related degree.
  • Commercial experience across AI, software development and product engineering.
  • Strong proficiency in Python and JavaScript.
  • Hands-on experience with Generative AI, LLMs and RAG architectures.
  • Experience with prompt engineering and AI APIs/integrations.
  • Experience building prototypes, proof-of-concepts or production-ready solutions.
  • Strong understanding of modern software development and engineering practices.
  • Experience working with cloud platforms such as AWS, Azure or GCP.
  • Strong analytical, problem-solving and communication skills.
  • Ability to work directly with clients and translate business challenges into technical solutions.
  • A genuine passion for AI, emerging technologies and innovation.
Responsibilities:
  • Work with clients and delivery teams to understand business and technical challenges.
  • Design and develop AI-powered prototypes, proof-of-concepts and product solutions.
  • Apply Generative AI, LLMs, RAG and prompt engineering to real-world use cases.
  • Evaluate and integrate AI platforms, tools, APIs and cloud technologies.
  • Contribute across the full product engineering lifecycle, from discovery and technical design through to development and deployment.
  • Support client pitches, demonstrations and technical discovery sessions.
  • Develop technical documentation, best practices and scalable solutions.
  • Collaborate with business consultants, engineers, AI specialists and sales teams.
  • Mentor junior team members and contribute to the wider AI and engineering capability.
Technologies:
  • AI
  • AWS
  • Azure
  • Cloud
  • GCP
  • Support
  • JavaScript
  • Python
  • RAG

More:

We are a leading AI consultancy delivering innovative solutions across AI, software development and product engineering for our clients. We work closely with clients, consultants, engineers and delivery teams to understand complex challenges, explore emerging technologies and turn ideas into prototypes, proof-of-concepts and scalable products.

last updated 39 week of 2026

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