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- Tasks: Lead AI-driven automation projects and innovate in software engineering.
- Company: Join a pioneering EdTech company transforming education with technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on communication and rapid product development.
- Why this job: Be at the forefront of AI innovation and make a difference in education.
- Qualifications: 5+ years in software engineering with expertise in AI tools and verification systems.
The predicted salary is between 60000 - 84000 £ per year.
Inara is seeking an Agentic Software Engineer for its EdTech client in Greater London. This full-time hybrid role focuses on directing AI agents in a groundbreaking software engineering approach.
The candidate should have over 5 years of experience, particularly with tools like Claude Code and a deep understanding of verification systems for AI outputs.
The role allows significant innovation and collaboration with both technical and non-technical teams, emphasizing communication and rapid iteration in product development.
Agentic Software Engineer AI-Driven Automation (Hybrid) in London employer: Inara
Contact Detail:
Inara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic Software Engineer AI-Driven Automation (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the EdTech space, especially those who work with AI-driven automation. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI agents and verification systems. This is your chance to demonstrate your innovation and collaboration abilities to potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Since this role involves working with both technical and non-technical teams, being able to explain complex concepts simply will set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Agentic Software Engineer AI-Driven Automation (Hybrid) in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in software engineering, especially with tools like Claude Code. We want to see how your background aligns with the role, so don’t hold back on those relevant projects!
Communicate Clearly: Since this role involves collaboration with both technical and non-technical teams, it’s crucial to demonstrate your communication skills. Use clear and concise language in your application to show us you can bridge that gap effectively.
Innovate and Iterate: We love innovation! Share examples of how you've contributed to rapid iteration in product development. This will help us see your ability to adapt and improve processes, which is key for this position.
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 AI Tools
Make sure you’re well-versed in the tools mentioned in the job description, especially Claude Code. Brush up on how these tools work and be ready to discuss your experience with them in detail.
✨Showcase Your Collaboration Skills
Since the role involves working with both technical and non-technical teams, prepare examples of past projects where you successfully collaborated across different disciplines. Highlight your communication strategies and how they led to successful outcomes.
✨Demonstrate Innovation
Inara is looking for someone who can bring fresh ideas to the table. Think of innovative solutions or improvements you've implemented in previous roles, especially related to AI-driven automation, and be ready to share those during the interview.
✨Prepare for Technical Questions
Expect to face some technical questions regarding verification systems for AI outputs. Review key concepts and be prepared to explain how you’ve applied these in your work. Practising coding challenges could also give you an edge.