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- Tasks: Lead AI-driven software projects and design systems for agentic tools.
- Company: Join a dynamic EdTech company at the forefront of AI innovation.
- Benefits: Enjoy a competitive salary, health perks, hybrid work, and growth opportunities.
- Other info: Be part of a collaborative team that values creativity and innovation.
- Why this job: Make a real impact in education by shaping the future of AI technology.
- 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 are 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. It involves:
- 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.
Required skills include:
- 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.
Software-ontwikkelaar in City of London employer: Inara
Contact Detail:
Inara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software-ontwikkelaar in City of 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 directed agents or built validation systems. This will give potential employers a taste of what you can do.
✨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 tools in your past projects.
✨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 Software-ontwikkelaar in City of London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and EdTech shine through. We want to see how you've engaged with these technologies in your past roles and how they inspire you to innovate.
Tailor Your Experience: Make sure to highlight your experience with the specific tech stack mentioned in the job description. We’re looking for candidates who can demonstrate their skills in AWS, Node.js, and other tools, so don’t hold back on those details!
Be Clear and Concise: While we love a good story, keep your application focused and to the point. Use clear language to describe your achievements and how they relate to the role. We appreciate straightforwardness!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
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 integrate with AI-driven systems, as you'll need to demonstrate your understanding of their application in real-world scenarios.
✨Showcase Your Experience with AI
Prepare to discuss your experience with AI-generated outputs and how you've verified them in past projects. Be ready to share specific examples of how you've built validation systems or directed agents, as this will highlight your fit for the role.
✨Think Beyond Coding
This role isn’t just about writing code; it’s about directing agents and building frameworks. Be prepared to explain your approach to designing scaffolding and context files that keep AI on track. This will show that you understand the bigger picture of the engineering culture.
✨Ask Insightful Questions
During the interview, ask questions that reflect your interest in the company’s AI-driven culture. Inquire about their current projects involving agentic tools or how they measure the success of their AI implementations. This shows you’re engaged and thinking critically about the role.