At a Glance
- Tasks: Build innovative AI systems that help businesses test decisions before they happen.
- Company: Exciting AI startup focused on synthetic human behaviour and decision intelligence.
- Benefits: Competitive salary, equity options, and a chance to shape the future of AI.
- Other info: Dynamic startup environment with opportunities for growth and learning.
- Why this job: Join a pioneering team and make a real impact in the AI landscape.
- Qualifications: 5+ years in engineering, strong Python skills, and experience with LLMs.
The predicted salary is between 100000 - 130000 £ per year.
MBN Solutions are partnering with a start-up AI platform that specialises in Synthetic Human behaviour. We are hiring a Founding AI Engineer to help build AI systems that let companies test decisions before they happen. We're building a decision platform that helps businesses understand how customers, markets, and competitors may respond before a pricing change, product launch, or growth initiative goes live. Today, many critical business decisions are still tested directly in the real world. We believe there should be a safer environment to explore those decisions first.
As a Founding AI Engineer, you'll work on the intelligence layer behind that vision:
- Build production-grade LLM and agentic workflows
- Design evaluation, tracing, replay, and quality-control systems
- Turn messy business data into reliable reasoning contexts
- Improve AI reliability through structured outputs, retrieval, calibration, and testing
- Develop systems that expose assumptions, uncertainty, and evidence
- Help define what trustworthy AI predictions look like
We're looking for someone with:
- 5+ years of engineering experience
- Strong Python and production systems expertise
- Hands-on experience with LLMs, agents, RAG, or AI workflow systems
- Experience building evaluation frameworks, tests, or quality gates for AI systems
- Strong product instincts and comfort working in ambiguity
This isn't a prompt-engineering role, and it isn't pure research. You'll be building real systems that help customers make better decisions and continuously improve by learning from real-world outcomes. If you're excited by AI systems that are auditable, measurable, and tested against reality, we'd love to hear from you.
Founding AI Engineer (LLM System, Agent & Decision Intelligence) in Slough employer: MBN Solutions
MBN Solutions is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. As a member of our early-stage startup, you'll enjoy a collaborative culture that fosters creativity and professional growth, alongside opportunities to work on cutting-edge AI technologies that simulate human behaviour. With a focus on employee development and a commitment to work-life balance, we provide a unique platform for you to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Engineer (LLM System, Agent & Decision Intelligence) in Slough
✨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 MBN Solutions 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 MBN Solutions.
✨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 MBN Solutions.
✨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 MBN Solutions 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 Founding AI Engineer (LLM System, Agent & Decision Intelligence) in Slough
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 MBN Solutions.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at MBN Solutions 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 MBN Solutions
✨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 MBN Solutions 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.
