At a Glance
- Tasks: Develop and scale AI systems for e-commerce, transforming data into intelligent content.
- Company: Join Wilgot, a top AI startup revolutionising e-commerce with innovative technology.
- Benefits: Remote-first work, generous equity package, and top-tier tech budget for your setup.
- Why this job: Make a real impact by solving high-scale AI challenges for global brands.
- Qualifications: Extensive ML engineering experience and a deep understanding of LLM architecture required.
- Other info: Be part of a high-growth team with significant influence and no bureaucracy.
The predicted salary is between 48000 - 84000 ÂŁ per year.
About Wilgot
Wilgot is building the category‑defining Agentic Product Optimization (APO) platform for e-commerce. We are addressing the "adapt‑or‑die" reality that brands face as search shifts from keyword‑matching to AI‑driven discovery in interfaces like ChatGPT and Google AI Mode. Recognized by Dawn Capital as one of the top AI startups redefining e-commerce, our platform automates the repositioning of product catalogs for global, recognized brands, ensuring every product finds its buyer through intelligent content.
What We Do
Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce.
Our Core AI Loop
- Discover: Leverage AI and data analysis (customer queries, first‑party data, Google, ChatGPT, Perplexity) across 100+ markets to identify hidden demand, language attributes, and purchase signals. This phase focuses on turning raw data into clear, actionable content strategy.
- Generate: Build and deploy systems that create high‑quality, structured, and intent‑aligned product content (titles, descriptions, attributes, FAQs) natively in 100+ languages. The goal is to optimize content for both user conversion and interpretation/recommendation by AI search systems.
- Iterate: Design and manage a continuous feedback and optimization system. Monitor product performance across major search platforms, then programmatically regenerate and improve content based on visibility, engagement, and conversion data to maintain optimal relevance and discoverability.
The Role
Having validated our proprietary AI engine, we are now scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high‑scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting‑edge research into enterprise‑scale production features.
Key Responsibilities
- Scale Agentic Architectures: Advance existing workflows into multi‑agent systems capable of autonomous reasoning, state management, and self‑correction.
- Model Development & Fine‑Tuning: Lead the full lifecycle, from designing training strategies and curating high‑quality datasets to executing model fine‑tuning.
- Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data.
- System Observability & Reliability: Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact.
- Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup.
Requirements
- Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine‑tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding.
- Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool‑calling in production.
- Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks.
- Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics.
Why Join Wilgot?
- Practical AI at Scale: Solve real‑world, high‑scale AI problems for global brands.
- High Impact Team: Join a small, lean, high‑growth team. You'll have significant influence on the technical stack and trajectory with no bureaucracy. You aren't joining a machine, you are part of building it.
- Flexible Remote‑First: Work remotely with autonomy, prioritising deep work. Or from one of our hubs in Stockholm or London. We promote in‑person collaboration with regular full‑team offsites.
- Generous Ownership: Receive a generous equity package, ensuring true ownership and a significant stake in the company's value as we scale globally.
- Your choice of equipment: We provide a top‑tier tech budget for your preferred hardware and home‑office setup, ensuring you have the best tools for the job.
Senior AI Engineer - Remote-first (Stockholm/London hubs) - Wilgot in Leigh employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Remote-first (Stockholm/London hubs) - Wilgot in Leigh
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and e-commerce space, especially those connected to Wilgot. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects. When you apply through our website, include links to your work to give us a taste of what you can do.
✨Tip Number 3
Prepare for the interview! Research Wilgot's products and think about how your experience aligns with our mission. We love candidates who can discuss how they’d tackle real-world challenges in AI.
✨Tip Number 4
Follow up after applying! A quick email expressing your enthusiasm can keep you on our radar. We appreciate candidates who show genuine interest in joining our team.
We think you need these skills to ace Senior AI Engineer - Remote-first (Stockholm/London hubs) - Wilgot in Leigh
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior AI Engineer role. Highlight your experience with LLM architecture and agentic frameworks, as we want to see how you can bring your unique skills to our team.
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your technical depth and engineering mindset. We love seeing real-world applications of your skills, so don’t hold back!
Be Authentic: Let your personality shine through in your application. We’re a small, high-impact team, and we value authenticity. Share your passion for AI and how you envision contributing to our mission at Wilgot.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Jobster
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLM architecture and agentic frameworks. Be ready to discuss your experience with model development and fine-tuning, as well as how you've tackled real-world AI problems in production.
✨Showcase Your Engineering Mindset
Prepare to talk about your coding skills, especially in Python. Highlight any projects where you've written clean, testable code and how you've implemented MLOps practices. This will show that you can not only theorise but also execute.
✨Demonstrate Problem-Solving Skills
Think of specific examples where you've solved complex engineering challenges. Be ready to explain your thought process and the impact of your solutions, especially in terms of system observability and reliability.
✨Cultural Fit Matters
Wilgot is a high-impact, lean team, so be prepared to discuss how you can contribute to their engineering culture. Share your thoughts on collaboration, autonomy, and how you can help shape the technical stack as they scale.