Zipcare
Low-Code AI Implementation Engineer
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About Zipcare
ZipCare is a UK technology company. Our platform helps families arrange, manage and pay for home care, and, we build automation and AI into the product to support the people doing the admin. https://www.zipcare.co.uk/
About the role
This is a hands-on delivery role, and it's entry-level. From day one you'll take a written brief and turn it into a working automation, alongside our engineering team.
You'll apply existing AI services, APIs and low-code automation tools to real operational problems: understanding how a process works today, finding where it breaks, and improving the logic, prompts and human-review steps until it's reliable enough to use. You'll build and test in a controlled environment using test data.
What you'll do
- Work from a delivery brief to understand a business process, who uses it, and what "good" looks like.
- Map the steps, the decision points, the exceptions, and the stages where a person must stay in control.
- Build and refine automations using our approved tools, AI APIs and workflow platforms.
- Test against edge cases and failures, record what breaks, and iterate on the evidence.
- Document your work — playbooks, implementation notes and test artefacts, so someone else can maintain it.
- Present finished work to the team and to external business audiences, explaining what it does and where its limits are.
- Gain experience in AI Engineering, Data & AI Operations, AI Integration in Business Processes, Responsible AI & Governance, and Deployment, Monitoring & Reliability.
How the work runs
Each piece of work starts with a written brief and a short kick-off conversation. Most of your week is building and testing. Once a week you walk the team through what works, what doesn't, and what you changed. Documentation is part of the job, not an afterthought.
What we're looking for
You can build working software, you pick up new tools quickly, and you want to apply that to real operational problems in a small team. We're hiring for capability and judgement, not years of experience.
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Essential
- Practical coding and debug ability in JavaScript or TypeScript or similar, automation logic, REST APIs and integrations.
- Comfortable with Git and normal development workflows.
- Real, applied experience: work you've delivered in a commercial setting, on a placement, through an apprenticeship, or on a bootcamp/programme built around real business projects. You'll need to be able to talk us through it in detail.
- A clear communicator. You can explain technical work to non-technical people, and you raise problems early rather than late.
Desirable — any of these is a plus, none is required. Don’t worry if you haven’t used them — we’ll teach you along the way.
- AI coding assistants (Claude Code, Codex, Github Copilot or similar)
- Workflow automation or AI orchestration tools
- AI APIs or prompt engineering
- Low-code app builders
- App development in any framework (React Native, Flutter or similar)
Behaviours:
We look at how the work gets done as well as what gets delivered. For this role, that means:
- Improving how things work. You suggest improvements on your own initiative, use technology to get an efficient result, and account for accessibility and everyone who will use it.
- Deciding on evidence. You make fair decisions in good time, research or ask when unsure, weigh the options, costs and risks, and can explain how you got there.
- Explaining your work. You write and speak clearly, pick the right channel for the audience, listen to views unlike your own, and handle questions and hard conversations well.
- Looking out for the team. You share what you learn beyond your team, help keep a workplace free of mistreatment where challenge is heard, and support colleagues’ wellbeing and your own.
- Growing. You identify the gaps in your own skills, set development objectives and meet them, seek out learning, and listen to feedback on how you are doing.
- Setting an example. You take pride in the work, understand where your responsibility runs and how your actions land on others, and give credit to colleagues where it is due.
- Getting things finished. You stay focused on the outcome despite setbacks, check progress against what was agreed and correct course, and follow the policies and law that apply.
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What we offer
- Statutory annual leave, pro rata
- Workplace pension
- Access to the software and AI tool accounts you need
- You'll spend around 15% of your time on learning and development.
- Structured mentoring from experienced tech-sector professionals and academic researchers.
- A portfolio of real, deployed work, and the chance to present it to regional employers for career development.
- Opportunity to present completed work to regional employers to improve your employability at the end of employment.
How we select
We use a portfolio-based approach: applicants are assessed on the real work they've produced, not on CVs alone. We'll ask you to share examples of solutions you've built or delivered in a real setting and to talk us through your approach, the problem, the decisions you made, and what you learned. We're looking for evidence of practical capability and sound judgement.
You must have the right to work in the UK. The role includes standard confidentiality and intellectual-property terms. We may appoint more than one person from this process, and we may close applications early if we receive a high volume of applications.
Inclusion
We welcome applicants from all backgrounds. Women are significantly under-represented in technical roles and we particularly encourage women to apply. We also welcome people who don't see themselves reflected in typical tech job ads.
Pay: £26,400.00 per year
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