At a Glance
- Tasks: Design and build AI-enabled software solutions while collaborating with engineers and AI specialists.
- Company: Join Guidant Global, a diverse and inclusive tech company committed to innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Work in a dynamic environment that values creativity and diverse perspectives.
- Why this job: Make a real impact by integrating AI into production-grade systems.
- Qualifications: Strong experience in software engineering, API development, 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.
Senior AI Enabled Software/DevOps Engineer in City of London employer: Guidant Global
At Guidant Global, we pride ourselves on being an exceptional employer, offering a dynamic work culture that champions diversity and inclusion. Our commitment to employee growth is evident through hands-on opportunities in cutting-edge AI technology, ensuring that you not only contribute to impactful projects but also advance your career in a supportive environment. Located in a vibrant area, our team thrives on collaboration and innovation, making it a rewarding place to develop your skills as a Senior AI Enabled Software/DevOps Engineer.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Enabled Software/DevOps Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and DevOps space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving TypeScript, Python, and AI integrations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to software engineering and DevOps. Remember, it’s not just about what you know, but how you communicate it!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Senior AI Enabled Software/DevOps Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your strong experience in software engineering and DevOps, especially with TypeScript and Python. We want to see how you can contribute to our AI-enabled solutions!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Projects:If you've worked on any API-driven services or cloud-native architectures, make sure to include them in your application. We love seeing real examples of your work, so don’t hold back on sharing your successes and the impact they had!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
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 crucial for the role. Brush up on your API design skills and be ready to discuss how you've implemented service-based architectures in past projects.
✨Showcase Your DevOps Experience
Be prepared to talk about your experience with containerisation and automation tools like Kubernetes and Terraform. Share specific examples of how you've deployed and operated production systems, highlighting any challenges you overcame.
✨Demonstrate AI Integration Knowledge
Since the role involves working with AI-enabled solutions, it’s important to understand how to integrate AI capabilities into software systems. Discuss any relevant projects where you’ve applied AI tools or reviewed AI-generated code.
✨Emphasise Collaboration Skills
This position requires close collaboration with engineers and AI specialists. Be ready to share examples of how you’ve worked effectively in teams, especially in cross-functional settings, to deliver integrated solutions.
