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- Tasks: Design and build scalable backend services using Python and Azure AI technologies.
- Company: Fast-growing consulting business focused on AI-driven solutions.
- Benefits: Remote flexibility, collaborative culture, and opportunities for innovation.
- Why this job: Join a team creating impactful AI-first products in a dynamic environment.
- Qualifications: Strong Python development experience and knowledge of cloud-native architectures.
- Other info: Work with cutting-edge tools and contribute to high-quality code standards.
The predicted salary is between 50000 - 70000 £ per year.
Location: Remote / Hybrid
Type: Full-time
Our client is a fast-growing consulting business building an AI-driven platform on native Microsoft Azure services. They are looking for a strong Backend Python Developer to join their team and play a key role in delivering scalable, AI-first solutions used for business automation, workflows, and intelligent agents. This is an opportunity to work in a lean, high-impact environment where speed, quality, and innovation matter.
The Role
- Design, build, and maintain backend services in Python, writing clean, maintainable, production‑grade code.
- Develop and deploy AI‑powered features using Azure‑native services including Azure AI Foundry, Azure AI Search, Cosmos DB, Docker, and AKS.
- Architect and implement scalable, cloud‑native solutions.
- Work within tight development cycles — branch, commit, test, and ship via GitHub‑based CI/CD pipelines.
- Write comprehensive unit tests and contribute to high code quality standards.
- Collaborate within agile sprints and contribute to technical design decisions.
The Ideal Candidate
- Strong commercial experience in Python backend development.
- Experience building APIs and working with cloud‑native architectures.
- Solid understanding of Docker, Kubernetes, and scalable distributed systems.
- Experience using GitHub for version control, pull requests, and CI/CD workflows.
- An agile mindset and the confidence to work in a fast‑paced, iterative environment.
Desirable Experience
- Exposure to Azure's AI ecosystem (AI Foundry, AI Search, Cosmos DB, AKS).
- Experience integrating AI/LLM‑based services into production systems.
- Familiarity with modern development tooling such as VS Code and AI‑assisted coding tools.
Why Apply?
- Work on a genuinely AI‑first product with real‑world commercial impact.
- Join a collaborative, technically strong team with minimal red tape.
- Remote flexibility with a culture focused on delivery, ownership, and innovation.
If you are a backend Python developer who enjoys building intelligent, scalable systems in Azure and wants to work at the forefront of applied AI, this opportunity is worth exploring.
Python Developer employer: Xact Placements Ltd
Contact Detail:
Xact Placements Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with Python or AI. 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 GitHub repository showcasing your Python projects, especially any that involve Azure or AI. This gives potential employers a sneak peek into your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges on platforms like LeetCode or HackerRank. Brush up on your knowledge of Docker and Kubernetes, as these are hot topics in backend development right now.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to get noticed by our team and show your enthusiasm for joining a cutting-edge company.
We think you need these skills to ace Python Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python backend development and any relevant Azure services. We want to see how your skills align with the role, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any cool projects involving AI or cloud-native architectures, make sure to mention them. We love seeing real-world applications of your skills, especially if they relate to the job description!
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 Xact Placements Ltd
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with backend development, and be prepared to write some code on the spot. Practising common algorithms and data structures in Python can really help you shine.
✨Familiarise Yourself with Azure Services
Since the role involves working with Azure AI services, take some time to understand how Azure AI Foundry, Cosmos DB, and other relevant tools work. Being able to discuss how you've used these technologies in past projects will show that you're not just a Python whiz but also someone who can leverage cloud-native solutions effectively.
✨Showcase Your Agile Mindset
The company values an agile approach, so be ready to talk about your experience working in fast-paced environments. Share examples of how you've adapted to changes quickly and contributed to team sprints. This will demonstrate that you can thrive in their dynamic setting.
✨Prepare Questions About Their AI Vision
Come prepared with insightful questions about the company's AI-driven platform and their future plans. This shows your genuine interest in the role and helps you assess if their vision aligns with your career goals. Plus, it gives you a chance to engage in a meaningful conversation during the interview.