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For Companies At a Glance
- Tasks: Design and build next-gen AI systems that operate in real-world environments.
- Company: Join a pioneering tech startup in London focused on innovative AI solutions.
- Benefits: Competitive salary, equity options, and the chance to shape the future of AI.
- Why this job: Be a founding engineer and make a significant impact in the AI industry.
- Qualifications: Experience in shipping AI systems and familiarity with Python and production ML.
- Other info: Dynamic startup environment with opportunities for rapid career growth.
The predicted salary is between 60000 - 84000 £ per year.
This role is for one of our clients.
Location: London (On-site)
Experience: 3–10 years
Stage: Seed → Series B
Role Type: Early hire / founding engineer
Why This Role Exists
You’ll build the next generation of production-grade AI systems — agents that reason, act, and operate reliably in messy, real-world environments.
What You’ll Do
- Design and ship agentic AI systems
- Build RAG pipelines and tool-using agents
- Deploy and monitor LLM workloads in production
- Focus on evaluation, reliability, and safety
- Integrate AI into core product workflows
- Work closely with founders and customers
What We’re Looking For
- Experience shipping AI systems to real users
- Deep familiarity with agents, RAG, orchestration
- Python-first
- Production ML / LLM operations experience
- Comfort operating in early-stage environments
Nice to Have
- LangGraph / Temporal / orchestration frameworks
- Vector databases
- HIPAA / SOC-2 systems
- Terraform / Kubernetes
- Edge or real-time AI systems
Founding Applied AI Engineer (Agentic Systems) in London employer: Weekday
Contact Detail:
Weekday Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Applied AI Engineer (Agentic Systems) in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who are already working with agentic systems. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects related to AI systems. Whether it's a GitHub repo or a personal website, let your work speak for itself and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by diving deep into the company's products and their use of AI. Understand their challenges and think about how you can contribute. Tailor your answers to show you're the perfect fit for their team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Founding Applied AI Engineer (Agentic Systems) in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about building agentic systems and tackling real-world challenges. Share any personal projects or experiences that highlight your passion.
Tailor Your Application: Make sure to customise your application to fit the role. Highlight your experience with AI systems, RAG pipelines, and any relevant tools you've used. We love seeing how your background aligns with what we're looking for!
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 your skills and experiences without wading through fluff.
Apply Through Our Website: Don't forget to submit your application through our website! It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Weekday
✨Know Your AI Systems Inside Out
Make sure you’re well-versed in the AI systems you've worked on. Be ready to discuss specific projects where you designed and shipped agentic AI systems, focusing on the challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since this role is Python-first, brush up on your Python knowledge. Prepare to demonstrate your coding skills or discuss how you've used Python in production ML/LLM operations. Real examples will make a strong impression!
✨Understand the Early-Stage Environment
This position is in an early-stage company, so be prepared to talk about your experience in such environments. Highlight your adaptability and how you’ve contributed to building something from the ground up.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for AI systems and how they integrate AI into their core product workflows. This shows your genuine interest and helps you assess if it’s the right fit for you.
