At a Glance
- Tasks: Design and develop innovative software solutions with AI technologies.
- Company: Leading tech firm in London, focused on AI advancements.
- Benefits: Competitive salary, travel expenses covered, and flexible working arrangements.
- Other info: Exciting travel opportunities and a chance to work on cutting-edge projects.
- Why this job: Join a team pushing the boundaries of AI and make a real difference.
- Qualifications: 8-10+ years in software engineering with strong AI and coding skills.
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 in London employer: SkillRecruit
As a leading employer in the tech industry, we offer our Software Engineers an exciting opportunity to work on cutting-edge AI technologies while enjoying a dynamic and collaborative work culture in London. With a strong focus on employee growth, we provide ample training and development opportunities, alongside competitive benefits and the chance to travel for projects, ensuring a rewarding and fulfilling career path.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the software engineering field, especially those who have experience with AI/LLM systems. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your hands-on experience with Python or Java and any AI platforms you've worked with. This is your chance to demonstrate your expertise in building scalable production systems.
✨Tip Number 3
Prepare for the interview! Brush up on CI/CD pipelines and Infrastructure as Code. Be ready to discuss how you've used tools like Terraform or Helm in your previous projects. We want to see you shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Software Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your 8–10+ years of Software Engineering experience and showcases your hands-on work with AI/LLM systems. We want to see how your skills align with what we're looking for, so don’t be shy about mentioning your proficiency in Python or Java!
Showcase Relevant Projects:When you write your application, include specific examples of projects where you've used AI platforms like OpenAI or Claude. We love seeing real-world applications of your skills, especially if they involve building scalable production systems.
Be Clear and Concise:Keep your written application clear and to the point. We appreciate a well-structured application that makes it easy for us to see your qualifications and experience without wading through unnecessary fluff.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take the initiative to follow our process!
How to prepare for a job interview at SkillRecruit
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI/LLM systems and the specific platforms mentioned in the job description. Be ready to discuss your hands-on experience with these technologies, as well as any projects you've worked on that showcase your skills in Python or Java.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or coding challenges during the interview. Think about how you can demonstrate your ability to build scalable production systems and your familiarity with CI/CD pipelines and Infrastructure as Code. Practice explaining your thought process clearly.
✨Highlight Your Experience with Monitoring Tools
Since monitoring, logging, and observability are crucial for this role, be ready to discuss the tools you've used in the past. Share specific examples of how you've implemented these tools in your projects and the impact they had on system performance.
✨Be Ready for Travel Discussions
With 50–75% travel involved, it's important to express your willingness and flexibility regarding travel commitments. Think about how you can balance work and travel effectively, and be prepared to discuss any previous experiences you have with travel in a professional context.
