Areti Group | B Corp™
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Full Stack AI Engineer
Tech for Good SaaS Platform | AI-Native Organisation
Remote (UK) | £65-75k + Benefits
The Opportunity
We're partnering with an innovative Tech for Good SaaS organisation that is transforming the way businesses leverage AI, automation, and intelligent technologies to solve real-world challenges. Following a period of significant growth and investment in AI, they are looking to hire a Full Stack AI Engineer to play a key role in designing, building, and scaling the next generation of AI-powered products, internal platforms, and automation solutions.
This is a fantastic opportunity for an ambitious engineer who wants to move beyond traditional software development and work at the forefront of AI-native product engineering, helping shape both customer-facing solutions and internal systems that drive efficiency, scalability, and business growth.
You'll join a highly collaborative engineering function where you'll have genuine ownership, exposure to cutting-edge technologies, and the ability to influence technical direction from day one.
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Key Responsibilities
- Develop and maintain scalable full-stack applications across web, API, and backend services.
- Design, build and deploy AI-powered solutions using Large Language Models (LLMs), agent frameworks, and modern automation technologies.
- Create intelligent workflows and automation tools that improve operational efficiency and user experience.
- Work closely with Product, Engineering, Data, and Business stakeholders to identify opportunities for AI-driven innovation.
- Build integrations between internal systems, third-party platforms, and data services.
- Take ownership of features throughout the entire software development lifecycle, from concept through to deployment and ongoing optimization.
- Contribute to architecture decisions, engineering best practice, and platform scalability.
- Continuously evaluate emerging AI technologies and identify opportunities to implement them within the organisation.
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Required Experience
- 3-5 years' commercial software engineering experience.
- Strong full-stack development background with experience across frontend and backend technologies.
- Experience building and deploying production-grade applications.
- Exposure to AI technologies including LLMs, AI agents, Retrieval Augmented Generation (RAG), machine learning integrations, or AI-enabled products.
- Strong understanding of APIs, microservices, system integrations, and cloud-native development.
- Experience working in Agile delivery environments.
- Ability to work independently in a fast-paced and evolving business environment.
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