At a Glance
- Tasks: Design and build AI-enabled software solutions while collaborating with diverse teams.
- Company: Join Guidant Global, a forward-thinking company committed to diversity and inclusion.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and teamwork.
- Why this job: Make a real impact by integrating AI into production-grade systems.
- Qualifications: Strong background in software engineering and proficiency in TypeScript and Python.
The predicted salary is between 60000 - 80000 £ per year.
What You'll Be Doing
- Design, build, and operate AI‑enabled software and platform solutions.
- Develop and maintain API‑driven services and integrations that allow systems to work effectively with AI capabilities.
- Contribute to the evolution of existing applications towards modern, service‑based and cloud‑native architectures.
- Implement and operate integration mechanisms between software systems and AI platforms, including emerging patterns where appropriate.
- Apply AI tools to support engineering productivity, while retaining full accountability for quality, safety, and correctness.
- Review, validate, and guide AI‑generated code or output to ensure it meets engineering and operational standards.
- Build, deploy, and operate services using TypeScript and Python, supported by modern DevOps practices.
- Package and operate workloads using Kubernetes tooling (e.g. Helm) and infrastructure‑as‑code (e.g. Terraform).
- Work closely with engineers, platform teams, and AI specialists to deliver integrated solutions.
Your Experience
- Strong experience as a Senior Software Engineer, Senior DevOps Engineer, or similar hands‑on role.
- Excellent software engineering fundamentals, including system design, code quality, testing, and maintainability.
- Solid experience building API‑first or service‑based systems.
- Proficiency in TypeScript and Python.
- Experience deploying and operating production systems using containerisation and automation tooling.
- Comfort working across development, deployment, and operational concerns.
- Confidence taking ownership of technical work and systems in live environments.
In Return
You'll work on real, production‑grade systems where AI is being integrated responsibly and pragmatically. This is an opportunity to deepen your senior engineering practice, stay hands‑on, and help ensure AI‑enabled systems are reliable, secure, and effective in real‑world use.
As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, drawing on a rich blend of experiences, perspectives, and creativity. We believe inclusive teams deliver better outcomes for everyone.
Guidant Global is acting as an Employment Business in relation to this vacancy.
Senior AI Enabled Software/DevOps Engineer in London employer: Guidant Global
At Guidant Global, we pride ourselves on being an excellent employer by offering a dynamic work culture that champions diversity and inclusion. Our commitment to employee growth is reflected in the opportunity to work on cutting-edge AI-enabled systems, where you can deepen your engineering expertise while contributing to meaningful projects. Located in a vibrant environment, we provide a supportive atmosphere that values every team member's contributions, ensuring that you feel empowered and valued throughout your career journey with us.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Enabled Software/DevOps Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI, TypeScript, and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with AI-enabled systems and DevOps practices to catch our eye.
We think you need these skills to ace Senior AI Enabled Software/DevOps Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AI-enabled software, TypeScript, Python, and DevOps practices to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for the role. Share specific examples of your work that align with what we’re looking for.
Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, make sure to mention them! We love seeing real-world applications of your skills, especially in building API-driven services and cloud-native architectures.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Guidant Global
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript and Python, as these are key for the role. Brush up on your knowledge of API-driven services and cloud-native architectures, so you can confidently discuss how you've applied these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Be prepared to share specific examples of how you've tackled challenges in software engineering or DevOps. Highlight instances where you've integrated AI capabilities into existing systems, and explain your thought process behind those decisions.
✨Demonstrate Collaboration
This role involves working closely with engineers, platform teams, and AI specialists. Be ready to discuss how you've successfully collaborated in the past, perhaps by sharing a project where teamwork led to a successful outcome.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI integration and their DevOps practices. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding diversity and inclusion.
