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For Companies 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 60000 - 80000 £ 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.
AI Engineer employer: algo1
Contact Detail:
algo1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 showcasing your projects, especially those related to agentic development or AI solutions. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on the latest advancements in AI and agentic toolchains. Be ready to discuss how you can implement complex workflows and evaluation strategies that align with the company's mission.
✨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 being part of our team at Algo1.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about the latest advancements in agentic development and how you can contribute to our mission of transforming the retail experience.
Tailor Your Experience: Make sure to highlight your hands-on experience with modern agentic development frameworks. We’re looking for specific examples that demonstrate your expertise in designing complex workflows and evaluation strategies. The more relevant your experience, the better!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see how your skills align with what we’re looking for in an AI Engineer.
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. Plus, it shows you’re serious about joining our team at Algo1!
How to prepare for a job interview at algo1
✨Know Your Agentic Development
Make sure you brush up on the latest advancements in agentic development frameworks like Pydantic AI. Be ready to discuss how you've implemented complex workflows and your experience with evaluation strategies for LLM agents. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in deploying and monitoring agentic applications. Highlight your experience with scaling and cost-efficiency, as well as any advanced context management techniques you've used. This will demonstrate your hands-on expertise and ability to drive results.
✨Stay Updated on Industry Trends
Keep yourself informed about the latest developments in machine learning and agentic toolchains. Being able to discuss recent trends or breakthroughs during the interview will show your passion for the field and your commitment to continuous learning, which is crucial for a role focused on innovation.
✨Collaborate and Communicate
Since you'll be working closely with product, design, and mobile teams, practice articulating your ideas clearly and concisely. Think of examples where you've successfully collaborated across different teams to achieve a common goal. This will highlight your teamwork skills and your ability to contribute to a cohesive work environment.