At a Glance
- Tasks: Design and deploy cutting-edge AI solutions for enterprise clients.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Attractive salary, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment with a focus on collaboration and creativity.
- Why this job: Be part of transformative AI projects that shape the future.
- Qualifications: 8+ years in software engineering with expertise in AI applications.
The predicted salary is between 80000 - 100000 £ per year.
The Role
Work directly with enterprise clients to design, build, and ship production-grade generative AI solutions — agents, RAG systems, and AI-powered workflows — from scoping through deployment.
About the Role
What You'll Do
- Build and deploy agentic AI systems using spec-driven development and evals-first delivery
- Design RAG pipelines, skills, and MCP-based integrations with enterprise systems
- Define eval frameworks and guardrails; own quality from POC to production
- Choose the right architecture — LLM, SLM, or hybrid — for cost, latency, and accuracy
- Lead technical conversations with client stakeholders, from CTOs to engineering teams
Responsibilities
- Build and deploy agentic AI systems using spec-driven development and evals-first delivery
- Design RAG pipelines, skills, and MCP-based integrations with enterprise systems
- Define eval frameworks and guardrails; own quality from POC to production
- Choose the right architecture — LLM, SLM, or hybrid — for cost, latency, and accuracy
- Lead technical conversations with client stakeholders, from CTOs to engineering teams
Qualifications
- 8+ years of software engineering with Java EE, Spring Boot and AWS Stack, including 3+ years building LLM-powered applications in production
Required Skills
- Working knowledge of Creating AI Skills, Command, Hooks etc. — building, structuring, and maintaining skill libraries for AI agents
- Hands-on with agentic AI tools (Claude Code or AWS Kiro), plus agents, tool use, MCP, and RAG architectures
- You write and review code with AI daily — and are eager to help customers adopt the same way of working
- Proven track record designing and running evals (benchmarks, LLM-as-judge, HITL)
- Strong grasp of LLM/SLM trade-offs, context engineering, and agentic engineering practices
- Python and/or TypeScript proficiency; strong client-facing communication
Preferred Skills
- Public thought leadership: talks, posts, or open-source contributions in applied AI
- Hands-on exposure and know how in Payments/ high volume fast paced Financial services tech ecosystems
Artificial Intelligence Engineer employer: SageBeans RPO
At SageBeans RPO, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As an Enterprise GenAI Engineer, you will have access to cutting-edge technology and the opportunity for professional growth through collaborative projects and mentorship. Located in the vibrant tech landscape of the United Kingdom, we offer competitive benefits and a supportive environment that values creativity and initiative.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at SageBeans RPO or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to SageBeans RPO.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like SageBeans RPO.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like SageBeans RPO that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SageBeans RPO.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SageBeans RPO and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at SageBeans RPO
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If SageBeans RPO uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
