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For Companies At a Glance
- Tasks: Design and build production-grade AI agents using advanced programming techniques.
- Company: Join Rexi Group, a leader in next-gen AI technology.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by creating intelligent systems that operate in the real world.
- Qualifications: Strong programming skills in languages like Python or Java and experience with production systems.
- Other info: Collaborative environment focused on engineering depth and innovative problem-solving.
The predicted salary is between 36000 - 60000 £ per year.
Rexi Group is building a next generation AI platform and we are looking for a strong software engineer who can design and build production grade AI agents entirely in code. This is not a no code automation role. We want someone who understands programming deeply, including architecture, data flow, system behaviour, and reliability. Someone who can build intelligent agents that operate consistently in real world environments.
What You’ll Do
- Architect and implement multi-step AI agents in production code
- Design reasoning loops, tool orchestration layers, memory systems, and fallback strategies
- Engineer robust structured data pipelines
- Build scraping and browser automation systems
- Integrate directly with LLM APIs such as OpenAI and Anthropic, managing prompt architecture, tool schemas, streaming responses, error handling, and cost optimization
- Design systems that handle probabilistic outputs with deterministic safeguards
- Implement monitoring, logging, evaluation, and feedback loops
- Collaborate on long-term system architecture and scalability
Core Requirements
- Strong programming foundation in a serious language such as Python, Go, Rust, Java, C#, or TypeScript
- Deep understanding of data structures, clean architecture, modular system design, and asynchronous workflows
- Experience building real production systems, not just prototypes or scripts
- Solid understanding of relational and non-relational databases
- Experience working with APIs and distributed systems
- Ability to design reliable logic around non-deterministic outputs
- Comfort debugging complex, multi-component systems
Nice to Have
- Experience with LangGraph, LangChain, or custom agent frameworks
- Experience with vector databases
- Experience with Playwright, Puppeteer, Selenium, or large-scale scraping systems
- Experience deploying and maintaining production systems using Docker, cloud infrastructure, and CI/CD
- Experience building multi-agent or tool-using systems
What We Value
- Engineering depth over surface level AI hype
- Code first thinking
- Strong problem solving ability
- Clear communication and structured thinking
- Ownership mindset
How To Apply
If you believe you are a strong fit for this role, please apply directly or email jobs@apatay.com. Kindly include your CV, links to relevant GitHub repositories or technical work, and a brief cover message explaining your experience building production grade systems. Applications without demonstrable code work will not be considered.
AI Agent Engineer in Plymouth employer: Rexi Group
Contact Detail:
Rexi Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Agent Engineer in Plymouth
✨Tip Number 1
Get your hands dirty with coding! When you’re prepping for interviews, brush up on your programming skills in languages like Python or Go. Build a small project that showcases your ability to create production-grade systems, and be ready to discuss it in detail.
✨Tip Number 2
Don’t just rely on your CV; show us what you can do! Share links to your GitHub repositories or any relevant projects when you apply. This gives us a real taste of your coding chops and problem-solving skills.
✨Tip Number 3
Prepare for technical interviews by practising system design questions. Think about how you would architect multi-step AI agents or handle data flow in complex systems. We love seeing clear communication and structured thinking during these discussions!
✨Tip Number 4
Network with others in the field! Join online communities or forums related to AI and software engineering. Engaging with peers can lead to valuable insights and even job leads. Plus, it’s a great way to stay updated on industry trends.
We think you need these skills to ace AI Agent Engineer in Plymouth
Some tips for your application 🫡
Show Off Your Code Skills: Make sure to include links to your GitHub repositories or any technical work you've done. We want to see your coding chops in action, so don’t hold back!
Tailor Your CV: Customise your CV to highlight your experience with production systems and the programming languages mentioned in the job description. We love seeing how your skills align with what we’re looking for!
Craft a Compelling Cover Message: In your cover message, briefly explain your experience building production-grade systems. This is your chance to connect the dots between your background and what we value at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Rexi Group
✨Know Your Code Inside Out
Make sure you’re well-versed in the programming languages mentioned in the job description, especially Python, Go, or Rust. Be ready to discuss your past projects in detail, focusing on how you designed and built production systems rather than just prototypes.
✨Understand System Architecture
Brush up on your knowledge of clean architecture and modular system design. Be prepared to explain how you would approach building multi-step AI agents and managing data flow in a real-world environment. Use examples from your experience to illustrate your points.
✨Demonstrate Problem-Solving Skills
Expect technical questions that test your problem-solving abilities. Think through complex scenarios involving non-deterministic outputs and how you would implement reliable logic around them. Practise articulating your thought process clearly.
✨Showcase Your Work
Have your GitHub repositories or any relevant technical work ready to share. Be prepared to walk through your code and explain your design choices. This is your chance to demonstrate your engineering depth and ownership mindset, so make it count!