VoxSmart

AI Engineer

VoxSmart London, ENG, GB
Full-time $38k Posted 3 days ago

Role overview

This is an early-career role for someone with genuine AI fluency and a practical mindset. You do not need years of experience. You need to understand how AI systems work, have a feel for where automation creates real value, and be comfortable moving between business context and technical execution.

You will sit within the Data function and report to the Head of Data, with a dotted line to the Head of Business Enablement. In practice, this means you will move across teams – understanding how people work, mapping their processes and building solutions that make those processes faster and smarter.

This is not a back-office engineering role. You will work with real business problems, work closely with colleagues across every function, and see the impact of what you build. If you want to learn fast and have your work matter from day one, this is that opportunity.

Responsibilities

  • check_circle Map workflows across the business – documenting how tasks currently flow, identifying bottlenecks, manual steps and automation opportunities.
  • check_circle Design and build AI-enabled workflows and automation pipelines, working with LLMs, AI agents and no-code/low-code tools where appropriate.
  • check_circle Work with teams across VoxSmart to understand their day-to-day processes and translate those into structured, automated workflows.
  • check_circle Prototype and test automation solutions rapidly – learning from what works, iterating quickly and being pragmatic about what to build versus buy.
  • check_circle Support the rollout of AI tooling across the business, including helping colleagues understand and adopt new ways of working.
  • check_circle Contribute to the development of VoxSmart's AI Operating Model in practice – tracking what's been automated, what's in progress and where the next opportunities are.
  • check_circle Stay close to developments in AI tooling and agents, bringing relevant new capabilities to the team's attention and helping evaluate them.
  • check_circle AI fluency – a solid understanding of how large language models and AI agents work, what they are good at and where they fall short. You do not need to have built production AI systems; you do need to understand the technology well enough to use it practically.
  • check_circle A workflow and process mindset – natural curiosity about how things work, a habit of looking for steps that could be faster or removed, and the ability to translate messy business processes into clean, structured logic.
  • check_circle Comfort with automation tooling – experience with at least some of: prompt engineering, AI agent frameworks, workflow automation platforms (such as Make, n8n, Zapier or similar), APIs and scripting (Python or equivalent).
  • check_circle Strong communication skills – the ability to talk to non-technical colleagues, ask good questions, explain what you're building and why, and help people understand and trust the tools you put in front of them.
  • check_circle A bias for action – you would rather build a rough prototype and learn from it than spend weeks planning. You move quickly, take feedback well and are not precious about your solutions.
  • check_circle Collaborative by nature – this role sits at the intersection of Data and Business Enablement, which means working across the organisation constantly. You need to enjoy that.
  • check_circle A degree or equivalent grounding in a relevant discipline – computer science, data science, AI, engineering or similar – or demonstrable practical experience that gives you the foundations to do the job.

Benefits

  • check_circle A role at the centre of VoxSmart's AI transformation – with real scope, real problems and the ability to see the impact of your work from the start.
  • check_circle A dual reporting line that gives you both technical grounding (Head of Data) and business context (Head of Business Enablement) – an unusual combination that reflects how seriously we take AI enablement as a commercial function.
  • check_circle Competitive salary in line with market rates for an early-career AI engineer at a high-growth technology company.
  • check_circle A business with real institutional credibility – a decade of trust with the world's most demanding financial institutions, and a product that the market genuinely needs.
  • check_circle 25 days annual leave plus a resilience day and a day off for your birthday.
  • check_circle Private medical insurance, life assurance, and pension.
  • check_circle Spanish language lessons.
  • check_circle Annual learning and development allowance – and a team that actively invests in your growth.

About the company

  • check_circle Map, design and automate workflows across the business – translating how teams work today into AI-enabled processes that are faster, leaner and more repeatable.
  • check_circle Build and deploy AI agents and automation that shift tasks across the maturity curve: from human-only, to AI-assisted, to AI-supported, to AI-led.
  • check_circle Work closely with the Head of Business Enablement to identify where AI can remove friction, reduce manual effort and free people to focus on higher-value work.
  • check_circle Embed AI tooling where it has the clearest impact – and help the business build the habits to use it well.

Tags & Focus Areas

Fulltime Remote Ai Ai Engineer

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