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For Companies At a Glance
- Tasks: Design and build cutting-edge 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) employer: Weekday
Contact Detail:
Weekday Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Applied AI Engineer (Agentic Systems)
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work with agentic systems. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects related to AI systems. Whether it’s GitHub repos or case studies, having tangible evidence of your experience can really set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML operations knowledge. Practice coding challenges and be ready to discuss your approach to building reliable AI systems. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Founding Applied AI Engineer (Agentic Systems)
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 building agentic systems and making a real impact in the field. Share any personal projects or experiences that highlight your passion.
Tailor Your Experience: Make sure to customise your application to reflect your experience with AI systems. We’re looking for someone who has shipped real products, so highlight relevant projects and skills that align with what we’re after. Don’t just list your job duties; show us what you’ve achieved!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Use bullet points where possible to make your achievements stand out. Remember, we want to get to know you quickly!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Weekday
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially agentic systems. Be ready to discuss your experience with deploying and monitoring LLM workloads, as well as any projects where you've built RAG pipelines or tool-using agents.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight how you've tackled real-world challenges in messy environments. This role is all about reliability and safety, so think of specific instances where your solutions made a difference.
✨Familiarise Yourself with the Tools
Get comfortable with the technologies mentioned in the job description, like Python, Terraform, and Kubernetes. If you have experience with orchestration frameworks or vector databases, be sure to mention it during the interview.
✨Engage with Founders and Customers
Since this is an early hire position, show your enthusiasm for working closely with founders and customers. Prepare questions that demonstrate your interest in their vision and how you can contribute to integrating AI into core product workflows.
