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- Tasks: Lead AI-driven software projects and design systems for autonomous agents.
- Company: Join a pioneering EdTech firm with a focus on AI innovation.
- Benefits: Enjoy a competitive salary, hybrid work model, and growth opportunities.
- Other info: Be part of a dynamic team that values creativity and impact.
- Why this job: Shape the future of education technology while working with cutting-edge AI tools.
- Qualifications: 5+ years in software engineering with a focus on AI verification and agent tooling.
The predicted salary is between 60000 - 80000 £ per year.
We're hiring on behalf of a growing EdTech customer, a globally active education organisation with a genuinely AI-Driven engineering culture. Their tech team doesn't sit on the side of the business; it's central to it. How they build, what they automate, and how they adopt AI feeds directly back into what they teach. It attracts engineers who care about more than shipping tickets.
You won't be writing code. You'll be directing the agents that do, building the scaffolding that lets them run unsupervised, designing the validation systems that tell you output is good without reviewing every line, and enabling multiple agents to work in parallel across real enterprise problems.
This isn't about writing faster with Copilot. Building agent scaffolding; context files, prompt architectures and skills that keep AI on track without constant intervention. Designing verification systems for AI-generated code you didn't write or review.
Tech: AWS, Salesforce, Snowflake, Node.js, TypeScript, Python, React, GraphQL.
- 5+ years of software engineering experience — but your recent work looks fundamentally different.
- You've thought seriously about how you verify AI-generated output you didn't produce yourself.
- You've built MCP servers, custom agent tooling, or agent skills.
Vacancy: Software Engineer in London employer: Inara
Contact Detail:
Inara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vacancy: Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the EdTech space, especially those who work with AI-driven tools. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing projects where you've built agent scaffolding or worked with AI verification systems. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on the tech stack mentioned in the job description. Be ready to discuss how you've used AWS, Node.js, or any other relevant tech in your past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Vacancy: Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your experience with AWS, Salesforce, and any agentic tools you've worked with. We want to see how you fit into our AI-driven culture!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for EdTech and how your background in software engineering can contribute to our mission. Let us know why you're excited about building agent scaffolding and working with AI.
Showcase Your Projects: If you've worked on projects involving AI or agent-based systems, make sure to include them! We love seeing real-world applications of your skills. Describe your role and the impact your work had on the project.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Inara
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, Node.js, and Python. Brush up on how these tools interact with AI-driven systems, as you'll need to demonstrate your understanding of both the tech and its application in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex engineering challenges, especially those involving AI or automation. Be ready to discuss specific projects where you directed agents or built validation systems, as this will highlight your hands-on experience and innovative thinking.
✨Understand the AI Context
Since the role focuses on directing AI agents, it’s crucial to articulate your thoughts on verifying AI-generated outputs. Think about how you would design verification systems and be prepared to discuss your approach to ensuring quality without manual review.
✨Cultural Fit Matters
This company values engineers who care about more than just coding. Be ready to express your passion for education technology and how you see your role contributing to the broader mission. Show that you’re not just a techie but someone who wants to make a difference in the EdTech space.