At a Glance
- Tasks: Design and deploy cutting-edge Agentic AI systems in a hands-on engineering role.
- Company: Join a forward-thinking enterprise focused on innovative AI solutions.
- Benefits: Competitive pay, flexible work options, and opportunities for skill development.
- Other info: Dynamic team environment with potential for career advancement.
- Why this job: Be at the forefront of AI technology and make a real impact in enterprise environments.
- Qualifications: Experience in software engineering and a passion for AI system optimisation.
The predicted salary is between 60000 - 80000 € per year.
We’re on the lookout for a highly experienced Agentic AI Software Engineer to lead the hands-on build of enterprise-grade AI systems, with a strong focus on agent-based architectures, orchestration, and production deployment. This is a pure engineering role — ideal for someone who thrives on building, scaling, and optimising real-world AI systems in complex enterprise environments.
What You’ll Be Building
- You’ll design and deploy production-ready Agentic AI systems, including:
- Agentic workflows (RAG, orchestration, tool use, routing)
- Multi-model Agentic AI platforms across leading providers
- Cloud-native, scalable Agentic AI services
- Enterprise-integrated Agentic AI applications
Agentic AI Software Engineer (Enterprise AI Systems) in London employer: Experis UK
Join a forward-thinking company that prioritises innovation and collaboration, offering a dynamic work culture where your contributions directly impact the development of cutting-edge AI systems. With a strong commitment to employee growth, we provide ample opportunities for professional development and skill enhancement in a supportive environment. Located in a vibrant tech hub, our team enjoys access to a wealth of resources and networking opportunities, making it an ideal place for passionate engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Software Engineer (Enterprise AI Systems) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to agent-based architectures and AI systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI systems. Practice common interview questions and be ready to discuss your hands-on experience with building and deploying AI solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Keep an eye on our job listings and make sure your application stands out!
We think you need these skills to ace Agentic AI Software Engineer (Enterprise AI Systems) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Agentic AI Software Engineer role. Highlight your experience with agent-based architectures and any hands-on projects you've worked on that relate to enterprise AI systems.
Showcase Your Skills:In your application, don’t just list your skills—show us how you’ve used them in real-world scenarios. We want to see examples of how you've built, scaled, and optimised AI systems in complex environments.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about building AI systems and how your background makes you a perfect fit for this role. Keep it engaging and relevant!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to showcase your application in the best light possible!
How to prepare for a job interview at Experis UK
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies and frameworks relevant to agent-based architectures and orchestration. Brush up on your knowledge of cloud-native services and multi-model AI platforms, as these will likely come up during the interview.
✨Showcase Your Hands-On Experience
Prepare to discuss specific projects where you've built or optimised AI systems. Be ready to explain your role in these projects, the challenges you faced, and how you overcame them. Real-world examples will demonstrate your capability and confidence.
✨Understand the Enterprise Environment
Familiarise yourself with the complexities of enterprise environments. Be prepared to talk about how you’ve integrated AI solutions into existing systems and how you handle scalability and deployment challenges in such settings.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current AI initiatives, their tech stack, and future projects. This shows your genuine interest and helps you gauge if the role is the right fit for you.
