Staff AI Engineer in London

Staff AI Engineer in London

London Full-Time 80000 - 98000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build cutting-edge AI solutions for the retail industry.
  • Company: Stealth-mode VC-backed company focused on behavioural AI.
  • Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
  • Other info: Join a dynamic team with a clear vision and impactful projects.
  • Why this job: Shape the future of retail with innovative AI technology from day one.
  • Qualifications: Experience in agentic development and modern AI frameworks.

The predicted salary is between 80000 - 98000 £ per year.

About algo1: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience.

The Role: You will be an expert in agentic development familiar with both the latest advancements in models as well as the agentic toolchain and best practices. You will work closely with product, design, mobile, and machine learning team members to design & build agents that drive everything from user experience to platform automation and efficiency. Alongside product development, you will bring your expertise to enable the rest of the company to deliver faster and more effectively, whilst maintaining quality, using the latest agentic approaches and tools.

What You Will Own:

  • Defining and implementing complex, high-impact agentic AI platform solutions.
  • Driving best practices and enablement for agentic development across the engineering organization.
  • Establishing and maintaining robust evaluation (Evals) strategies for LLM agents, focusing on performance, latency, quality, and explainability.
  • Keeping up with the latest developments in models (Frontier Labs and Open Source) as well as agent development toolchains and best practices.
  • Deployment, scaling, monitoring, and cost-efficiency of agentic applications.

Essential Qualifications:

  • Deep understanding and hands-on experience with modern agentic development frameworks (e.g. Pydantic AI).
  • Familiarity with designing and implementing complex, multi-step agentic workflows and planning/reasoning capabilities.
  • Proven ability to design and implement robust evaluation (Evals) strategies for large language model (LLM) agents, including metrics for performance, latency, and quality.
  • Expertise in advanced context management techniques, including retrieval-augmented generation (RAG), memory structures, and context window optimization.
  • Experience with deploying and monitoring agentic applications in production environments including scaling, monitoring (OTEL), cost, and token usage.

Nice to Have:

  • Experience in backend development and event-driven architecture.
  • Our stack includes Python, FastAPI, postgres, Kafka and MQTT.
  • Worked with IoT or Edge-oriented architectures.
  • Experience or knowledge in retail POS, inventory, or loyalty systems.

If you’re excited by the idea of shaping the future of retail and eager to make a real impact from day one, we’d love to hear from you.

Staff AI Engineer in London employer: algo1

At algo1, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture, perfect for those passionate about behavioural AI in the retail sector. Our team enjoys a range of benefits including flexible working arrangements, opportunities for professional development, and the chance to work on cutting-edge technology without the constraints of legacy systems. Located in a vibrant tech hub, we offer a unique environment where creativity and expertise come together to shape the future of retail.

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Contact Details:

algo1 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff AI Engineer in London

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 algo1 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 algo1.

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 algo1.

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 algo1 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 Staff AI Engineer in London

Agentic Development
Machine Learning
Complex Workflow Design
Evaluation Strategies for LLM Agents
Performance Metrics
Latency Management
Quality Assurance

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 algo1.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at algo1 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 algo1

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 algo1 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.