At a Glance
- Tasks: Help shape the future of AI by developing and improving software engineering practices.
- Company: Join a leading enterprise client focused on innovative AI solutions.
- Benefits: Enjoy remote work, flexible assignments, and varied workloads.
- Other info: Ideal for those seeking dynamic projects and growth opportunities.
- Why this job: Make a real impact on AI models while enhancing your software engineering skills.
- Qualifications: 3+ years in full stack development and strong Git knowledge required.
The predicted salary is between 60000 - 80000 £ per year.
We have partnered with one of our enterprise clients that helps the world's most innovative companies improve their AI models by providing human feedback. Are you an experienced software engineer who wants to help shape the future of AI? The projects’ focus is helping generative AI improve its understanding of software development practices, coding standards, debugging techniques, and collaborative engineering workflows.
Responsibilities:
- Creating and answering technical questions about software engineering concepts and full stack development, coding best practices, and debugging strategies to help train AI models.
- Analyzing code quality, maintainability, and adherence to real-world engineering standards.
- Providing expert-level feedback on version control workflows, collaborative coding practices, and effective debugging techniques.
We’re looking for people with:
- 3+ years of professional software engineering experience with full stack development.
- Professional experience building and maintaining production-grade software systems.
- Strong knowledge of Git (or similar version control systems), including experience with branching, merging, and collaborative development workflows.
- Outstanding attention to detail and ability to clearly communicate technical feedback and coding best practices.
Nice to have:
- Backend engineering expertise with experience designing and scaling server-side systems.
- Test-Driven Development (TDD) experience and strong testing discipline.
- Experience authoring technical specifications and API contracts.
- Hands-on expertise with testing frameworks such as PyTest, JUnit, Mocha, or similar tools.
- Experience conducting code reviews, debugging complex issues, and analyzing large codebases.
- Zero-to-one experience as a founding engineer or early employee at a startup.
Benefits:
- Remote work – complete tasks anytime, anywhere.
- Flexible – matched to assignments based on fit and availability.
- No guaranteed hours – workload may vary weekly.
Full Stack Software Engineers for AI Training in London employer: Lifted, an Upwork Company™
Contact Detail:
Lifted, an Upwork Company™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Software Engineers for AI Training in London
✨Tip Number 1
Network like a pro! Reach out to fellow engineers, attend meetups, and connect with people in the AI space. 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 full stack development and AI. 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 coding best practices and debugging techniques. Practice common coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and helps us get to know you better.
We think you need these skills to ace Full Stack Software Engineers for AI Training in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your full stack development experience 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 coding best practices and debugging techniques!
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 in software engineering makes you a great fit for this role. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills: In your application, mention specific technologies and tools you’ve used, especially around Git and collaborative workflows. We’re keen to know how you’ve applied your knowledge in real-world scenarios, so give us the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at Lifted, an Upwork Company™
✨Know Your Tech Inside Out
Make sure you brush up on your full stack development skills. Be ready to discuss coding best practices, debugging techniques, and version control workflows in detail. The more confident you are in your technical knowledge, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some coding challenges or technical questions during the interview. Practice explaining your thought process as you solve problems, as this will demonstrate your analytical skills and how you approach software engineering tasks.
✨Communicate Clearly and Effectively
Since the role involves providing feedback on coding practices, it's crucial to articulate your thoughts clearly. Practice explaining complex concepts in simple terms, as this will show your ability to communicate effectively with both technical and non-technical stakeholders.
✨Highlight Your Collaborative Experience
Be ready to discuss your experience with collaborative coding practices and version control systems like Git. Share specific examples of how you've worked in teams, handled code reviews, and contributed to maintaining high code quality in past projects.