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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 Chesterfield employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer in Chesterfield
✨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 knowledge. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Full Stack Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Full Stack Engineer in Chesterfield
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 achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with us at StudySmarter and how your background makes you a perfect fit for the Full Stack Engineer position. Keep it engaging and personal.
Showcase Your Projects: If you’ve got a portfolio or GitHub with projects that demonstrate your full stack skills, include them! We love seeing real examples of your work, especially anything related to AI or media processing.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team!
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 skills, REST APIs, and any frameworks like React or Vue. 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 your contributions and the impact they had. This not only demonstrates your technical skills but also your ability to work collaboratively with teams.
✨Understand AI and Media Processing
Since the role involves AI-powered creative tools, it’s crucial to have a basic understanding of machine learning concepts and media processing. Familiarise yourself with how these technologies work together, as this knowledge will help you engage in meaningful discussions during the interview.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s projects, team dynamics, or future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to demonstrate your enthusiasm for generative AI technology!