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- Tasks: Maintain and enhance our internal LLM agent framework while ensuring system reliability.
- Company: Acclaim AI, a forward-thinking tech company based in Greater London.
- Benefits: Competitive pay, rapid career growth, and flexible remote work options.
- Other info: Collaborate with ML/NLP teams in an exciting and evolving environment.
- Why this job: Join a dynamic team and work with cutting-edge AI technologies.
- Qualifications: 6+ years of Python experience and a passion for innovation.
The predicted salary is between 60000 - 80000 £ per year.
Acclaim AI in Greater London is seeking skilled backend developers with 6+ years of experience in Python. In this role, you will maintain the internal LLM agent framework, ensure system reliability, and collaborate with ML/NLP teams.
Ideal candidates should have hands-on experience with async Python, enjoy working in dynamic environments, and be open to using AI tools.
The company offers competitive compensation, rapid career progression, and remote work opportunities, aligning with its innovative culture.
Senior Backend Engineer - AI/LLM Frameworks (Remote) employer: Acclaim AI
Contact Detail:
Acclaim AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer - AI/LLM Frameworks (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and backend development space. A friendly chat can lead to referrals or insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving async Python or AI tools. 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 your Python skills and understanding LLM frameworks. Practice coding challenges and be ready to discuss your past experiences with ML/NLP teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Backend Engineer - AI/LLM Frameworks (Remote)
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python, especially async programming. We want to see how you've used these skills in past projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention your experience with LLM frameworks and how you’ve collaborated with ML/NLP teams. This shows us you’re genuinely interested in the position.
Be Yourself: We love a bit of personality! Don’t be afraid to let your unique voice shine through in your application. Share what excites you about working in dynamic environments and using AI tools.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Acclaim AI
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially async programming. Be ready to discuss your past projects and how you've used Python to solve complex problems. Practising coding challenges can also help you demonstrate your expertise.
✨Familiarise Yourself with AI/LLM Concepts
Since the role involves working with LLM frameworks, it’s crucial to understand the basics of AI and NLP. Read up on recent advancements in these fields and think about how they relate to backend development. This will show your enthusiasm and readiness to engage with the team.
✨Prepare for System Reliability Questions
Expect questions about maintaining system reliability. Think of examples from your previous work where you ensured uptime or improved system performance. Being able to articulate your approach to troubleshooting and optimising systems will impress the interviewers.
✨Show Your Collaborative Spirit
Collaboration is key in this role, so be prepared to discuss how you've worked with ML/NLP teams in the past. Share specific examples of successful teamwork and how you’ve contributed to a dynamic environment. This will highlight your ability to fit into their innovative culture.