At a Glance
- Tasks: Design and build advanced agentic AI systems using Python and modern frameworks.
- Company: Join a major organisation leading the charge in next-generation autonomous AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
- Why this job: Be at the forefront of AI innovation and make a real impact on technology.
- Qualifications: Strong Python skills and hands-on experience with agentic AI and RAG development.
The predicted salary is between 70000 - 90000 € per year.
I’m supporting a major organisation investing heavily in next‑generation autonomous AI, and we’re looking for a Senior Agentic AI Developer to help build advanced systems that can reason, plan, and act independently. If you’re passionate about agentic architectures, LLM orchestration, and pushing AI beyond simple prompts, this is a standout opportunity.
What you’ll work on:
- Designing and building agentic AI systems using Python + modern orchestration frameworks
- Developing multi‑agent workflows (reasoning, planning, memory, tool use)
- Building RAG pipelines with vector databases + knowledge graphs
- Creating semantic data models and retrieval pipelines
- Integrating APIs, tools, and external data sources
- Bringing cutting‑edge AI concepts into production with product, data, and research teams
- Optimising performance, scalability, and reliability
What we’re looking for:
- Strong Python engineering background
- Hands‑on experience with agentic AI (LangGraph, LangChain, LLM orchestration)
- RAG development experience (vector stores, retrieval pipelines)
- Knowledge of knowledge graphs (Neo4j, RDF, LPG, etc.)
- Understanding of LLM fine‑tuning, prompt engineering, context management
- Familiarity with cloud/MLOps (GCP, Docker)
Nice to have:
- Multi‑agent systems or AI reasoning experience
- Vector DB experience (Pinecone, Weaviate, Chroma)
- Open‑source contributions
Senior Agentic AI Developer in Reading employer: Brewer Morris
Join a forward-thinking organisation at the forefront of autonomous AI development, where innovation meets collaboration. As a Senior Agentic AI Developer, you'll thrive in a dynamic work culture that values creativity and continuous learning, with ample opportunities for professional growth. Located in a vibrant tech hub, we offer competitive benefits and a supportive environment that encourages you to push the boundaries of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Agentic AI Developer in Reading
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and engage in online forums. The more connections you make, the better your chances of landing that Senior Agentic AI Developer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to agentic AI, Python, and RAG development. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of LLM orchestration and multi-agent systems. Be ready to discuss your hands-on experience and how you've tackled challenges in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to push AI boundaries. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Agentic AI Developer in Reading
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for agentic AI shine through! We want to see how passionate you are about pushing AI boundaries and why this role excites you.
Tailor Your Experience:Make sure to highlight your relevant experience with Python and agentic architectures. We’re looking for specific examples of your work with LLM orchestration and RAG development, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the role.
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 this exciting opportunity.
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 specific frameworks mentioned in the job description. Brush up on your knowledge of agentic AI, RAG development, and knowledge graphs. Being able to discuss these topics confidently will show that you’re not just familiar with them, but that you can actually apply them.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving multi-agent systems or LLM orchestration. Bring examples of your work, whether it’s code snippets, diagrams, or even a demo if possible. This will help illustrate your hands-on experience and problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI, their current projects, or how they envision the future of agentic architectures. This shows your genuine interest and helps you gauge if the company aligns with your career goals.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Practice coding problems related to Python and AI concepts beforehand. You might also be asked to solve real-world problems on the spot, so think through your approach and communicate your thought process clearly.
