At a Glance
- Tasks: Scale AI architectures and lead model development for cutting-edge e-commerce solutions.
- 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 in AI at scale while working with a high-growth, dynamic team.
- Qualifications: Extensive ML engineering experience and proven skills in agentic frameworks.
- Other info: Flexible work environment with opportunities for significant influence and career growth.
The predicted salary is between 48000 - 72000 £ 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) employer: Wilgot
Contact Detail:
Wilgot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Remote-first (Stockholm/London hubs)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Wilgot. A personal introduction can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects and contributions. This is your chance to demonstrate your technical depth and engineering mindset, so make it shine!
✨Tip Number 3
Prepare for the technical interview by brushing up on your ML engineering knowledge. Be ready to discuss your experience with LLMs and agentic frameworks, as well as how you've tackled real-world problems in production.
✨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 the Wilgot team and contributing to our mission.
We think you need these skills to ace Senior AI Engineer - Remote-first (Stockholm/London hubs)
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and its potential shine through. We want to see how you connect with our mission at Wilgot and how your experience aligns with the exciting challenges we face in e-commerce.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior AI Engineer role. Highlight relevant projects and experiences that showcase your skills in ML engineering and agentic systems. We love seeing how you've tackled real-world problems!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and fit for the role. Avoid jargon unless it's necessary, and focus on what makes you a great candidate.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it helps us keep everything organised as we review applications.
How to prepare for a job interview at Wilgot
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLM architecture and fine-tuning techniques. Be ready to discuss specific projects where you've applied these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world AI problems you've tackled. Think about how you approached scaling agentic architectures or improving model performance. Use examples that highlight your engineering mindset and ability to innovate.
✨Understand the Company’s Vision
Familiarise yourself with Wilgot's mission and the Agentic Product Optimization platform. Be ready to discuss how your experience aligns with their goals and how you can contribute to transforming e-commerce through AI.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current challenges in AI development or how they envision the future of agentic systems. This demonstrates your engagement and enthusiasm for the position.