Technical Consultant/Engineer

Lynx Recruitment
Sw1E5Lb, United Kingdom
Today
£50,000 – £60,000 pa

Salary

£50,000 – £60,000 pa

Posted
3 Sep 2026 (Today)

Lynx Recruitment are looking for aTechnical Consultant to join a leading AI consultancy, working acrossAI, software development and product engineering to deliver innovative solutions for clients.

You will work with clients, consultants, engineers and delivery teams to understand complex challenges, explore emerging technologies and turn ideas intoprototypes, proof-of-concepts and scalable products.

The ideal candidate combines strong technical capability with a consulting mindset, is naturally curious about emerging AI technologies and enjoys solving complex problems.

Key Responsibilities
  • Work with clients and delivery teams to understand business and technical challenges.
  • Design and developAI-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 fullproduct 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.
Required Skills & Experience
  • 2:1 or above in an IT/Technology-related degree.
  • Commercial experience acrossAI, software development and product engineering.
  • Strong proficiency inPython and JavaScript.
  • Hands-on experience withGenerative AI, LLMs and RAG architectures.
  • Experience withprompt 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 withcloud 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.

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