At a Glance
- Tasks: Design and build production-grade AI agents using advanced programming skills.
- Company: Join Rexi Group, a leader in next-gen AI technology.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment focused on engineering depth and innovative problem-solving.
- 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.
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. The ideal candidate will be able to 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 Aberdeen employer: Rexi Group
At Rexi Group, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to push the boundaries of AI technology. As a remote employer, we offer flexible working arrangements, competitive salaries, and opportunities for professional growth in a cutting-edge field. Join us to be part of a collaborative team where your expertise in software engineering will directly contribute to the development of next-generation AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Agent Engineer in Aberdeen
✨Tip Number 1
Get your hands dirty with coding! When you’re prepping for interviews, work on real projects that showcase your programming skills. Build something cool that demonstrates your understanding of AI agents and production systems.
✨Tip Number 2
Don’t just talk the talk; walk the walk! Be ready to discuss your past projects in detail. Highlight how you tackled challenges, especially around system behaviour and reliability. This shows you’ve got the experience we’re looking for.
✨Tip Number 3
Networking is key! Connect with other engineers in the field, attend meetups, or join online forums. You never know who might have a lead on a job or can give you insider tips about the company culture.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Make sure to include links to your GitHub or any relevant code work to really stand out. We want to see what you can do!
We think you need these skills to ace AI Agent Engineer in Aberdeen
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 background aligns 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 shine and show us why you’re the perfect fit for the role!
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 quickly. Don’t miss out on this opportunity!
How to prepare for a job interview at Rexi Group
✨Know Your Code Inside Out
Make sure you can discuss your programming experience in detail. Be ready to explain your thought process behind the code you've written, especially in languages like Python or Go. They want to see your depth of understanding, so brush up on data structures and clean architecture.
✨Showcase Real-World Experience
Prepare examples of production systems you've built, not just prototypes. Be specific about the challenges you faced and how you overcame them. This will demonstrate your ability to handle complex, multi-component systems effectively.
✨Understand AI Agent Architecture
Familiarise yourself with the concepts of reasoning loops, tool orchestration, and memory systems. Be prepared to discuss how you would design these components in a real-world scenario, as this is crucial for the role.
✨Communicate Clearly and Confidently
Practice explaining your ideas clearly and concisely. They value structured thinking and clear communication, so make sure you can articulate your thoughts on system behaviour and reliability without getting lost in jargon.
