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For Companies At a Glance
- Tasks: Build and deploy cutting-edge AI systems that make a real impact.
- Company: Join a forward-thinking tech company focused on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and shape the future of intelligent systems.
- Qualifications: Experience with agentic platforms and a collaborative mindset.
- Other info: Dynamic team environment with a focus on quality and scalability.
The predicted salary is between 36000 - 60000 £ per year.
Build the next generation of intelligent, autonomous systems. We’re looking for an Agentic AI Engineer who turns cutting-edge AI ideas into production-ready agent systems. This role is for builders who care about structure, scale, and real impact — not vibe coding.
What you’ll work on:
- Building and deploying agentic AI systems using AgentCore, Gemini Enterprise, Azure Copilot
- Developing agents with LangChain, ADK, and similar SDKs
- Designing multi-agent architectures (A2A, MCP, RAG, memory & context)
- Building and standardizing LLM tooling, including Cursor commands, Claude skills, CI agents, and steering docs
What we’re looking for:
- Hands-on experience with agentic platforms and LLM tooling (including Cursor)
- Ability to collaborate across teams and enable others
- A builder’s mindset focused on quality and scale
If you love building real agentic systems — apply now.
AI Engineer employer: Vertex Agility
Contact Detail:
Vertex Agility Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups, and connect with other builders. You never know who might have the inside scoop on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving agentic AI systems. This is your chance to demonstrate your hands-on experience and builder’s mindset.
✨Tip Number 3
Prepare for interviews by brushing up on multi-agent architectures and LLM tooling. Be ready to discuss how you’ve tackled challenges in previous projects — we want to see that problem-solving mindset!
✨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 are proactive about their job search!
We think you need these skills to ace AI Engineer
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 much you care about building intelligent systems and how your experience aligns with our mission at StudySmarter.
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your hands-on experience with agentic platforms and LLM tooling, as well as any relevant projects that showcase your builder’s mindset.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your skills and experiences at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Vertex Agility
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like AgentCore and LangChain. Brush up on your knowledge of LLM tooling and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Building Skills
Prepare to talk about specific projects where you’ve built agentic systems. Highlight your hands-on experience and focus on the impact your work had on structure and scale. Real examples will make you stand out!
✨Collaboration is Key
Since the role requires collaboration across teams, think of examples where you’ve successfully worked with others. Be ready to discuss how you enabled your teammates and contributed to a collective goal.
✨Emphasise Quality and Impact
Demonstrate your builder’s mindset by discussing how you ensure quality in your work. Talk about your approach to standardising processes and how you measure the impact of the systems you create.
