Senior Python Backend Engineer for AI/LLM Systems (Remote)

Senior Python Backend Engineer for AI/LLM Systems (Remote)

Full-Time 60000 - 80000 £ / year (est.) Working from home possible
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At a Glance

  • Tasks: Build scalable services and APIs while collaborating with a fast-paced team.
  • Company: Acclaim AI, a cutting-edge company focused on AI and LLM systems.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team that values innovation and collaboration.
  • Why this job: Own the LLM agent framework and make a real impact with AI tools.
  • Qualifications: 6+ years in Python and 2+ years in async Python required.

The predicted salary is between 60000 - 80000 £ per year.

Acclaim AI is seeking a skilled backend developer to build scalable services, APIs, databases, and integrations with external systems while collaborating with a small, hands-on team that moves fast. You will own the LLM agent framework, improve observability, and adapt solutions for customer use cases, leveraging AI tools in daily development.

Ideal candidates have:

  • 6+ years with Python
  • 2+ years with async Python
  • A proactive approach to debugging across service boundaries

Senior Python Backend Engineer for AI/LLM Systems (Remote) employer: Acclaim AI

Acclaim AI is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for innovative minds eager to make an impact in the AI space. With a focus on employee growth, we offer opportunities for professional development and the chance to work with cutting-edge technologies in a remote setting, allowing for flexibility and work-life balance. Join us to be part of a small, agile team where your contributions directly shape the future of AI solutions.

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Contact Details:

Acclaim AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Python Backend Engineer for AI/LLM Systems (Remote)

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Acclaim AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Acclaim AI.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Acclaim AI.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Acclaim AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior Python Backend Engineer for AI/LLM Systems (Remote)

Python
Async Python
API Development
Database Management
Integration with External Systems
Debugging Skills
Scalable Services Development

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Acclaim AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Acclaim AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Acclaim AI

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Acclaim AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.