At a Glance
- Tasks: Build innovative AI systems that learn how organisations operate and contribute to product direction.
- Company: Join a Series A funded start-up backed by top tech VCs.
- Benefits: Competitive salary up to £180,000 plus equity and career growth opportunities.
- Other info: Work alongside top talent from leading AI labs and consulting firms.
- Why this job: Shape the future of AI in a scaling product with real impact.
- Qualifications: 3+ years in AI/ML solutions with experience in LLM-based systems.
The predicted salary is between 180000 - 180000 £ per year.
Agentic AI is moving from demos to enterprise production but most enterprise AI projects fail because agents lack company-specific context. This is an opportunity to tackle the root cause, building systems that learn how organisations actually operate by building a continual learning loop. It's with a Series A funded start-up backed by some of the biggest tech VCs. The use case is established and funding is real whilst the company is at a stage to offer meaningful equity and chance to shape the product direction.
What you'll be doing:
- The role spans LLM orchestration, multi-agent systems, confidence scoring, human-in-the-loop feedback, async scalable architecture, and evaluation frameworks.
- Contributing to the direction of AI strategy and product capabilities.
- Architecting asynchronous and scalable systems that handle complex AI orchestration.
- Managing your time between research papers and building production code.
Who you'll be working with:
The team bar is high with founding staff from some of the most notable frontier labs and AI consulting firms. You'd be challenged and not the most senior person in the room.
Why join now?:
The product is positioned to scale with paying customers already expanding. Joining a Series A in a category that's about to scale is where careers accelerate. The founding team have the pedigree and backing to pull off something big.
Requirements:
You bring at least 3 years experience building and shipping AI / ML solutions in a high profile environment and can demonstrate the impact you've had as an IC. You will demonstrate that you've built complicated LLM-based systems with multi layered engineering decisions. A salary of up to £180,000 + equity is on offer.
Senior AI Engineer in London employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Agentic AI is an exceptional employer for those looking to make a significant impact in the AI landscape. With a dynamic work culture that fosters innovation and collaboration, employees are encouraged to contribute to cutting-edge projects while enjoying meaningful equity opportunities. Located in a vibrant start-up environment, team members benefit from working alongside industry leaders, gaining invaluable experience that accelerates their career growth.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI space, especially those who work at Agentic AI or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source AI tools, make sure to highlight them. We love seeing real-world applications of your expertise!
✨Tip Number 3
Prepare for the interview by diving deep into the company's product and its challenges. Think about how your experience with LLM orchestration and multi-agent systems can directly contribute to their goals.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who want to shape the future of AI with us.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with LLM orchestration and multi-agent systems, as well as any relevant projects that showcase your ability to build scalable systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about joining a Series A start-up and how your background aligns with the company's mission to tackle enterprise AI challenges.
Showcase Your Impact:When detailing your past experiences, focus on the impact you've made in previous roles. Quantify your achievements where possible, especially in building AI/ML solutions that have driven results in high-profile environments.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and ML, especially around LLM orchestration and multi-agent systems. Be ready to discuss your past projects in detail, highlighting how you've tackled complex engineering decisions and contributed to AI strategy.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've approached challenges in previous roles. Think about times when you had to build scalable systems or implement human-in-the-loop feedback mechanisms. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand the Company’s Vision
Research Agentic AI and their mission to create enterprise-level AI solutions. Familiarise yourself with their product direction and be ready to discuss how your skills can help shape that vision. Showing genuine interest in their goals will set you apart from other candidates.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on your knowledge of async scalable architecture and evaluation frameworks. Practising coding problems related to AI/ML can also help you feel more confident when faced with technical assessments.
