SR2 | Socially Responsible Recruitment | Certified B Corporation™
Artificial Intelligence Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
AI Engineer
The Role
We’re looking for an AI Engineer to join our AI product team and help build the next generation of intelligent products.
You’ll join a high-trust engineering environment where you’ll own the full journey, from designing solutions and building AI systems to deploying, scaling, and improving them in production.
Working with modern AI development practices, including agentic coding tools and spec-driven development, you’ll help turn ideas into reliable AI solutions that create real business impact.
Responsibilities
- Build and ship AI-powered products and features from concept to production.
- Design scalable AI systems using modern engineering practices.
- Leverage agentic coding tools while maintaining strong engineering judgement and quality standards.
- Collaborate with engineering and product teams to shape AI strategy.
- Translate product requirements into reliable, maintainable solutions.
- Make key architectural decisions around scalability, performance, and reliability.
- Deploy and operate AI systems in cloud environments (AWS preferred).
- Explore new AI models, frameworks, and tools to improve how we build.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Skills & Experience
- 5+ years of software engineering experience delivering production-grade software.
- Experience building and deploying AI agents or AI-powered systems in production.
- Strong knowledge of LLM APIs, AI frameworks, RAG, orchestration, and evaluation.
- Experience using AI-assisted and agentic development tools.
- Strong system design and architecture skills.
- Comfortable with rapid iteration, evolving requirements, and spec-driven development.
- Experience building and operating cloud-based systems (AWS preferred).
- Strong communication skills and a passion for solving complex problems with AI.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
- Competitive salary and discretionary bonus scheme
- Hybrid working options
- 25 days annual leave
- 2 days paid volunteering leave
- 5% employer pension contribution
- Private medical insurance and eyecare
- Life assurance cover
- Employee Assistance Programme (including 24/7 GP, mental health support, financial and legal advice)
- Cycle to Work scheme
This is an opportunity to play a key role in an AI-first engineering team, building products that shape the future of intelligent technology.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location