Software Engineer AI Products

Overview of the Role

Etio has been developing a suite of AI-powered products that sit at the heart of its service delivery ambitions. These tools are in late-stage development, shaped by close collaboration between the Director of Technology & Digital and senior technical leadership. The Software Engineer, AI Products takes this work forward, building out the application layer, driving products through to production, supporting them through early-stage adoption, and ensuring they are reliable, maintainable, well documented, and ready to scale. Deeper involvement in prompt design, agent workflows, and API-based model integration will build progressively as the person grows into the role.

Key Responsibilities

Your core responsibilities include, but are not limited to:

• Take ownership of Etio's AI-powered product portfolio at the application layer, day to day accountable for interfaces, workflows, and integrations.
• Drive products from late-stage development through to production-grade status, ensuring reliability, testing coverage, and performance at scale.
• Own post-launch hypercare, monitoring performance, resolving issues, and supporting users through early adoption.
• Design and build integrations and automation workflows (including N8N) between AI applications and other business systems.
• Follow Etio's responsible AI guidelines, supporting governance activity including Data Protection Impact Assessments (DPIAs).

Expected Behaviours and Working Style

• Make every day count – you take ownership of your work and outcomes, managing your own backlog and following through on commitments without waiting to be directed.
• Lead the way – you bring strong engineering judgement and a genuine interest in AI, challenging the status quo where it adds value.
• Deliver with empathy – you communicate clearly, involve the right people, and build solutions that work for the people who use them.

Role Deliverables

• AI-powered products launched to production, stable, supported, and ready to scale.
• Post-launch hypercare completed, with a clear ongoing maintenance model in place.
• A documented, maintainable application codebase with clear design decisions recorded.
• Automation solutions delivered that reduce manual effort and drive measurable efficiency.

KPIs / Targets

Skills, Experience, and Qualifications

Essential

• Commercial full-stack engineering experience in TypeScript, across frontend and backend.
• Hands-on experience with Next.js and React.
• Hands-on experience with AWS, particularly serverless (Lambda, S3, DynamoDB, SQS).
• Experience using AI-assisted development tools (e.g. Claude Code or similar) as part of your daily workflow.
• Self-directed and proactive, able to manage your own workload without close day-to-day direction.
• Clear and confident communicator, able to explain technical decisions to technical and non-technical colleagues.

Desirable

• Experience with Node.js on AWS, AWS SDK v3, AWS CDK (TypeScript), and container deployment (e.g. App Runner).
• Experience calling LLMs via API (e.g. Amazon Bedrock, Claude API), including prompt engineering, token management, and cost control.
• Familiarity with Tailwind CSS, Zod, Recharts, NextAuth, Microsoft Entra ID, and Playwright.
• AWS certifications.
• Experience in the education or public sector.
• Knowledge of RAG pipelines and/or agent frameworks (e.g. LangChain, LlamaIndex, Claude Agent SDK).

Etio are committed to creating an inclusive environment for all employees. We welcome applications from all groups, particularly those underrepresented in the workforce.

Note to all applicants: Etio reserve the right to close an advertisement to applications ahead of the advertised closure date. For this reason, shortlisting may take place prior to the closing date on some occasions. Therefore, please do not hesitate to apply early.