AI Engineer Apprentice

REED SPECIALIST RECRUITMENT LIMITED

London (GU1 4SS)

Closes in 30 days (Thursday 6 August 2026 at 11:59pm)

Posted on 6 July 2026

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Contents

Summary

As our Apprentice AI Engineer, you will be at the frontier of our product capability designing and building autonomous, goal-directed AI agents that can reason, plan, and act across complex workflows. 

Wage

£18,000 a year

Minimum wage rates (opens in new tab)

Wage is £18k - £19k p/a

Training course
Artificial intelligence (AI) and automation practitioner (level 4)
Hours
Monday - Friday, 9:00am - 5:30pm. Shifts to be confirmed.

37 hours 30 minutes a week

Start date

Monday 10 August 2026

Duration

1 year 6 months

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

Agentic AI Development

  • Design, build, and iterate on agentic AI workflows — autonomous systems that can plan, reason, and execute multi-step tasks.
  • Integrate LLMs and AI orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or equivalent) into BFT's product ecosystem.
  • Develop agent tool integrations, memory systems, and feedback loops to improve agent performance over time.
  • Collaborate with the AWS Engineer to deploy and scale agentic systems on cloud infrastructure.
  • Collaborate with the F/E Engineer and Product Developer on user-facing agentic features in the beanies stream.

Research & Innovation

  • Monitor developments in agentic AI, LLMs, and multi-agent systems, bringing relevant innovations into BFT's product thinking.
  • Evaluate new AI tools, frameworks, and APIs, producing recommendations and proof-of-concepts for the product team.
  • Contribute to BFT's agentic AI strategy, working with the CPO and CTO to define the technical roadmap.

Quality, Safety & Responsible AI

  • Design agentic systems with safety, reliability, and predictability as core requirements.
  • Define testing frameworks and quality metrics for evaluating agent performance and reliability.
  • Ensure agentic systems comply with AI ethics principles, data regulations, and BFT's governance frameworks.

Role Requirements

Technical Requisites

  • Interest in large language models (LLMs), prompt engineering, and AI agent architectures.
  • Interest in agentic or multi-agent frameworks (e.g., LangChain, AutoGen, CrewAI, OpenAI Assistants, or equivalent).
  • Proficiency in Python and experience with AI/ML libraries.
  • Familiarity with cloud infrastructure (AWS preferred) for deploying AI systems.
  • Understanding of RAG (Retrieval-Augmented Generation), vector databases, and memory systems.
  • Experience with RPA or automation tooling is desirable.
  • Knowledge of responsible AI principles and AI safety practices.

Personal Skills

  • Intellectually curious, with a genuine passion for AI and autonomous systems.
  • Strong problem-solving skills and the ability to navigate ambiguity effectively.
  • Clear communicator — able to make complex AI concepts accessible to diverse audiences.
  • Self-directed and proactive, with a strong ownership mentality.
  • Collaborative and open, with a willingness to share knowledge and learn from others.

Where you'll work

Ground Floor Tempus Court Bedford Road
London
GU1 4SS

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

JUST IT TRAINING LIMITED

Training course

Artificial intelligence (AI) and automation practitioner (level 4)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents
  • Review, establish, follow and or amend policies and procedures on data and information security.
  • Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
  • Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
  • Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
  • Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
  • Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
  • Use automation design tools to suit the organisational context to configure, adapt and implement AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
  • Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
  • Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
  • Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
  • Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
  • Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
  • Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
  • Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
  • Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
  • Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
  • Contribute to sustainable and efficient AI and automation solutions.
  • Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
  • Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
  • Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
  • Undertake data analysis, preparation, and conversion to support automation solutions.
  • Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
  • Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
  • Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
  • Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
  • Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
  • Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
  • Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
  • Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.
  • Review, establish, follow and or amend policies and procedures on data and information security.
  • Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
  • Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
  • Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
  • Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
  • Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
  • Use automation design tools to suit the organisational context to configure, adapt and implement AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
  • Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
  • Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
  • Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
  • Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
  • Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
  • Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
  • Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
  • Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
  • Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
  • Contribute to sustainable and efficient AI and automation solutions.
  • Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
  • Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
  • Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
  • Undertake data analysis, preparation, and conversion to support automation solutions.
  • Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
  • Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
  • Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
  • Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
  • Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
  • Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
  • Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
  • Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.

Training schedule

An apprenticeship includes regular training with a college or other training organisation.

At least 20% of your working hours will be spent training or studying
Artificial intelligence (AI) and Automation Practitioner standard Level 4.

You will also receive full training and support from the Leep Talent Apprenticeship team to increase your skills.

Your training will include gaining a Level 4 Artificial intelligence (AI) and Automation Practitioner qualification.

Learners can gain these optional exams at the end of the programme:

  • AWS Certified AI Practitioner
  • Microsoft AI-900 Azure AI Fundamentals
  • Microsoft PL-900 Fundamentals
  • Awarding Body: Accelerate People

Requirements

Essential qualifications

GCSE in:

  • English (grade C/4 +)
  • Maths (grade C/4 +)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Communication skills
  • IT skills
  • Attention to detail
  • Organisation skills
  • Customer care skills
  • Problem solving skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Initiative
  • Positive attitude
  • Motivated
  • Passion for ICT
  • Hardware and software
  • Troubleshooting
  • Office 365
  • IT Support
  • Excellent time management

About this employer

Reed is a global company with a mission to improve lives through work, achieved through its recruitment, learning, and philanthropic services.

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

Potential full-time position for the right candidate after completion of the apprenticeship.

Ask a question

The contact for this apprenticeship is:

JUST IT TRAINING LIMITED

Ninaf@justit.co.uk

The reference code for this apprenticeship is VAC2000040782.

Apply now

Closes in 30 days (Thursday 6 August 2026 at 11:59pm)