At a Glance
- Tasks: Build and operate backend systems for an innovative AI chat app.
- Company: Join a cutting-edge tech team focused on transforming user interactions with AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on rapid learning and high-quality output.
- Why this job: Make a real impact by developing reliable AI systems that enhance everyday conversations.
- Qualifications: Strong backend engineering skills and experience with high-throughput services.
The predicted salary is between 60000 - 80000 £ per year.
A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior.
As a Backend Engineer, AI, you own the inference and orchestration layer that powers every AI interaction in the product. Your work sits between models and users, where latency, correctness, reliability, and cost directly impact real-world experience.
You will build and operate production systems that turn model capability into fast, stable, observable APIs used across mobile and desktop clients.
Focus
- Build and operate backend systems that serve AI-powered features in production.
- Design inference pipelines, orchestration layers, and service boundaries around models.
- Own production concerns: monitoring, logging, alerting, and incident response.
- Optimize latency and throughput across inference, caching, batching, and streaming.
Ideal Experiences
- Strong backend engineering fundamentals in production environments.
- Experience running high-throughput, low-latency services.
- Familiarity with AI inference patterns (LLMs, embeddings, multimodal).
- Comfortable debugging distributed systems under load.
- Bias toward shipping and learning from production behavior.
Outcomes
- Backend systems run reliably at scale, handling production AI traffic with low latency and high throughput.
- APIs are stable, clear, and support seamless integration with frontend and ML systems.
- Production incidents are quickly detected, diagnosed, and resolved, minimizing user impact.
- Iterative improvements based on real usage continuously increase system performance and reliability.
Tech Stack
- Python
- NodeJs
- Pytorch
- OpenAI / Anthropic / open-source LLMs
- SQL & noSQL
- Kubernetes
- Docker
How We Work
The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product.
Interview process
If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.
Backend Engineer, AI (Agent Systems) in London employer: BJAK
BJAK is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for ambitious professionals looking to make a significant impact. With a focus on employee growth and development, we offer numerous opportunities for advancement in a fast-paced, high-growth environment. Join us in our mission to scale operations across multiple countries and be part of a team that values ownership and efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Engineer, AI (Agent Systems) in London
✨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 or GitHub repository showcasing your projects, especially those related to backend systems and AI. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with high-throughput services and distributed systems. Practice common interview questions and scenarios to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to something amazing.
We think you need these skills to ace Backend Engineer, AI (Agent Systems) in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it can transform everyday tasks. Share any relevant projects or experiences that highlight your interest in building intelligent systems.
Highlight Your Backend Skills:Make sure to showcase your backend engineering fundamentals. Talk about your experience with high-throughput, low-latency services and any specific technologies from our tech stack that you’ve worked with, like Python or NodeJs.
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at BJAK
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Python, NodeJs, and Kubernetes. Be ready to discuss your experience with these tools and how you've used them in past projects. This shows you’re not just a fit on paper but also have hands-on experience.
✨Demonstrate Problem-Solving Skills
Prepare to tackle real-world scenarios related to backend systems and AI inference patterns. Think about how you would optimise latency or debug distributed systems under load. Practising these scenarios can help you articulate your thought process during the interview.
✨Show Your Collaborative Spirit
Since the team values collective decision-making, be ready to share examples of how you've worked effectively in teams. Highlight instances where you’ve contributed to high-quality work while learning from others, as this aligns with their hands-on approach.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to building reliable AI systems and how they handle production incidents. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
