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- Tasks: Design and build scalable backend architectures for AI-powered creative tools.
- Company: Join a fast-growing generative AI company transforming media technology.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 5+ years in software engineering with strong backend skills.
- Other info: Collaborate with ML engineers and researchers in a dynamic environment.
The predicted salary is between 60000 - 80000 £ per year.
We’re partnering with a fast-growing generative AI company building advanced media and creative technology platforms used by global enterprises. They are looking for a Fullstack Software Engineer with strong backend expertise to help develop scalable infrastructure powering next-generation AI products.
This role focuses on building the systems that enable AI model training, inference, and large-scale media processing, while also contributing to intuitive interfaces that expose complex AI capabilities to users. You’ll work closely with ML engineers, researchers, and product teams to bring cutting-edge generative AI technology into robust production systems.
Responsibilities- Design and build scalable backend architectures for AI-powered creative tools
- Develop high-performance APIs and microservices supporting AI inference and media workflows
- Build frontend interfaces using modern frameworks such as React or Vue
- Create data pipelines and storage systems for large-scale multimedia content
- Optimise systems for low-latency AI inference and high-throughput processing
- Implement monitoring, logging, and observability for production services
- 5+ years experience in fullstack or backend software engineering
- Strong backend development experience (Python preferred)
- Experience with REST APIs, distributed systems, and microservices
- Frontend experience with JavaScript/TypeScript and modern frameworks
- Knowledge of cloud platforms (AWS/GCP/Azure), Docker and Kubernetes
- Experience with databases such as PostgreSQL, Redis, or Neo4j
- Experience working with ML systems, computer vision, or media processing is a strong plus.
Full Stack Engineer in Stockport employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer in Stockport
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 related to AI and media processing. This is your chance to demonstrate your backend expertise and frontend flair, so make it shine!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. We want you to feel confident when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Full Stack Engineer in Stockport
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in backend development and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Python and modern frameworks!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with generative AI and how your background makes you a perfect fit for our team. Let us know what drives you and how you can contribute to our mission.
Showcase Your Projects: If you’ve got any personal or professional projects that demonstrate your full stack skills, include them! We love seeing real-world applications of your work, especially if they involve AI or media processing. It gives us a taste of what you can bring to the table.
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’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at DeepRec.ai
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your Python, REST APIs, and microservices knowledge. Being able to discuss your experience with these tools confidently will show that you’re a great fit for the role.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built scalable backend architectures or developed high-performance APIs. Highlight any experience with AI systems or media processing, as this will resonate well with the company’s focus on generative AI technology.
✨Ask Insightful Questions
Come prepared with questions that demonstrate your interest in the company’s products and future direction. Inquire about their current challenges in AI model training or how they optimise for low-latency inference. This shows you’re not just interested in the role, but also in contributing to their mission.
✨Demonstrate Team Collaboration
Since you'll be working closely with ML engineers and product teams, share examples of how you've successfully collaborated in the past. Discuss your communication style and how you handle feedback, as teamwork is crucial in this role.