At a Glance
- Tasks: Design and build scalable software systems while travelling to exciting locations.
- Company: Leading tech firm at the forefront of AI innovation.
- Benefits: Competitive salary, travel expenses covered, and opportunities for professional growth.
- Other info: Flexible work environment with significant travel opportunities.
- Why this job: Join a dynamic team and work with cutting-edge AI technologies.
- Qualifications: 8-10+ years in software engineering with expertise in AI systems.
The predicted salary is between 70000 - 90000 £ per year.
Location: London (50–75% travel, expenses will be paid)
Mandatory Skills:
- 8–10+ years Software Engineering experience
- Hands-on experience with AI/LLM systems (RAG, AI Agents, orchestration)
- Proficiency in Python or Java
- Experience with AI platforms (OpenAI, Claude, Vertex AI, etc.)
- CI/CD pipelines & Infrastructure as Code (Terraform/Helm)
- Monitoring, logging & observability tools
- Experience building scalable production systems
Software Engineer employer: SkillRecruit
Join a forward-thinking company in London that values innovation and offers a dynamic work culture, where your expertise in Software Engineering will be recognised and rewarded. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work on cutting-edge AI technologies while enjoying the benefits of travel expenses covered for 50–75% of your role. Experience a collaborative environment that encourages creativity and professional development, making it an excellent place for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer
✨Tip Number 1
Network like a pro! Reach out to fellow software engineers and industry contacts on LinkedIn. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/LLM systems. This gives potential employers a taste of what you can do beyond just words on a page.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python or Java skills. Practice coding challenges and be ready to discuss your experience with CI/CD pipelines and Infrastructure as Code.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative. Plus, it helps us keep track of your application and get back to you quicker.
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 8–10+ years of Software Engineering experience right at the start. We want to see your hands-on experience with AI/LLM systems, so don’t hold back on those details!
Get Technical:When you mention your proficiency in Python or Java, give us examples of projects where you've used these languages. We love seeing how you've tackled real-world problems using AI platforms like OpenAI or Vertex AI.
CI/CD and Infrastructure Skills Matter:Don’t forget to include your experience with CI/CD pipelines and Infrastructure as Code tools like Terraform or Helm. We’re keen on understanding how you’ve built scalable production systems and what tools you’ve used for monitoring and observability.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at SkillRecruit
✨Know Your Tech Inside Out
Make sure you’re well-versed in the mandatory skills listed, especially your hands-on experience with AI/LLM systems. Brush up on your knowledge of Python or Java, and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in building scalable production systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.
✨Familiarise Yourself with CI/CD and IaC
Since experience with CI/CD pipelines and Infrastructure as Code is crucial, be ready to discuss your familiarity with tools like Terraform and Helm. Consider preparing a brief overview of a project where you successfully implemented these practices.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI platforms and their future projects. This shows your genuine interest and helps you assess if the role aligns with your career goals.
