At a Glance
- Tasks: Design and build advanced agentic AI systems using Python and orchestration frameworks.
- Company: Brewer Morris, a leader in innovative AI solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting role in a dynamic environment with great career advancement potential.
- Why this job: Join us to push the boundaries of AI and make a real impact.
- Qualifications: Experience with agentic architectures, knowledge graphs, and cloud/MLOps required.
The predicted salary is between 60000 - 80000 € per year.
Brewer Morris is hiring a Senior Agentic AI Developer in Reading, UK. This role involves designing and building advanced agentic AI systems using Python and modern orchestration frameworks. The ideal candidate will have hands-on experience with agentic architectures, knowledge graphs, and cloud/MLOps.
Responsibilities also include developing multi-agent workflows and integrating various APIs. If you're passionate about pushing AI capabilities, this is a standout opportunity.
Senior Agentic AI Engineer: LLM Orchestration & Multi-Agent in Reading employer: Brewer Morris
Brewer Morris is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those eager to advance their careers in AI technology. Located in Reading, UK, employees benefit from a vibrant tech community, ample professional development opportunities, and a commitment to work-life balance, making it an ideal place for passionate individuals to thrive and make a meaningful impact in the field of agentic AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Agentic AI Engineer: LLM Orchestration & Multi-Agent in Reading
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those who work with agentic architectures or orchestration frameworks. 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 projects related to multi-agent workflows or knowledge graphs. This is your chance to demonstrate your hands-on experience and passion for AI beyond just a CV.
✨Tip Number 3
Prepare for interviews by diving deep into the latest trends in AI and MLOps. Be ready to discuss how you've tackled challenges in previous roles, especially those involving Python and API integrations. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your relevant experience and enthusiasm for pushing AI capabilities.
We think you need these skills to ace Senior Agentic AI Engineer: LLM Orchestration & Multi-Agent in Reading
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with Python and orchestration frameworks. We want to see how you've tackled similar challenges in the past, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention your hands-on experience with agentic architectures and knowledge graphs, as it shows us you’re genuinely interested in what we do at StudySmarter.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Let’s get straight to the good stuff about your experience and skills!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Brewer Morris
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the orchestration frameworks mentioned in the job description. Brush up on your knowledge of agentic architectures and knowledge graphs, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've developed multi-agent workflows or integrated APIs. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company’s Vision
Research Brewer Morris and their approach to AI. Understanding their goals and how they push AI capabilities will help you align your answers with their vision, showing that you’re not just a fit for the role but also for the company culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future developments in AI at Brewer Morris. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
