At a Glance
- Tasks: Apply AI to real-world customer and business challenges with hands-on responsibility.
- Company: Join ServisBOT, a forward-thinking tech company in Manchester.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career development opportunities.
- Why this job: Gain practical AI experience and make a tangible impact from day one.
- Qualifications: Curiosity about AI, strong problem-solving skills, and good communication.
The predicted salary is between 30000 - 30000 £ per year.
ServisBOT is looking for two graduates to join our Manchester, UK team and start a career applying AI to real customer and business problems. You’ll work with experienced teammates across customers, product, engineering and delivery, learning how AI agents move from early design through testing and assurance into production.
Location: Ancoats, Manchester
Working pattern: Hybrid, 3+ days in office
Salary: £30,000
Level: Graduate / early-career
Build practical AI experience from day one
This isn’t an AI research role, and we aren't looking for someone who wants to spend all day building models from scratch. It’s a chance to learn how AI is applied in the real world, with hands‑on responsibility early and close exposure to the work that turns a customer problem into a live enterprise deployment. You’ll see how AI agents are designed, tested, assured and delivered for enterprise customers. That includes understanding the problem, shaping the right approach, working across teams, and making sure the solution is effective in production.
What you’ll work on
- Across teams: You’ll work with customers, product, engineering and delivery rather than sitting in one lane. That gives you a fuller view of how AI solutions are built and how decisions get made.
- Across the delivery cycle: You’ll learn how AI agents are developed from an initial problem through design, testing and assurance into a live production service, with direct exposure to the work at each stage.
- Across real business problems: You’ll help shape solutions for customer and operational challenges where clear thinking, practical judgment and good communication matter as much as technical curiosity.
Who we’re looking for
- Curious about AI and how it can be applied practically
- Strong problem‑solvers who can bring structure to ambiguous problems
- Confident communicators who are comfortable working with customers
- Keen to learn about AI tools, APIs, data, systems and testing
- Already experimenting with AI through university, personal projects, work experience or self‑directed learning
- Interested in work that combines technology, customers and delivery
- Ready to learn quickly and take on responsibility early
- Motivated by practical outcomes rather than theory alone
What matters most in this role
- You do not need to be an AI expert or an experienced developer. We care more about how you think, how quickly you learn, and what you’ve already started exploring.
- You need strong curiosity and judgment. This role suits someone who enjoys learning, can handle ambiguity, and wants to understand how AI tools, systems and delivery work together in a customer setting.
Questions candidates often ask
- Is this a research or model-building role? No. This role is focused on applying AI in real business settings. You’ll work on design, testing, assurance and delivery around AI agents rather than spending your time building models from scratch.
- Do I need to be an AI expert or experienced developer? No. You do not need to be an experienced developer to apply. Strong communication, structured problem‑solving, curiosity about AI, and evidence that you’ve already started exploring the space matter more here.
- What kind of experience is useful before applying? University projects, personal experiments, internships, work experience, and self‑directed use of AI tools are all relevant. We’re interested in what you’ve already started learning and how you approach problem solving.
- Where is the role based? The role is based in Ancoats, Manchester, with a hybrid working pattern that includes a minimum of three days each week in the office.
Interested in building your career in applied AI? If you want to work at the intersection of AI, technology, customers and problem‑solving, we’d love to hear from you.
Graduate Applied AI Consultants in Manchester employer: ServisBOT Inc.
ServisBOT is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Manchester. As a Graduate Applied AI Consultant, you'll benefit from hands-on experience and early responsibility, while also enjoying ample opportunities for professional growth in the rapidly evolving field of AI. Our hybrid working model promotes flexibility, allowing you to balance your personal and professional life effectively.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Applied AI Consultants in Manchester
✨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 ServisBOT Inc. 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 ServisBOT Inc..
✨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 ServisBOT Inc..
✨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 ServisBOT Inc. 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 Graduate Applied AI Consultants in Manchester
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 ServisBOT Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ServisBOT Inc. 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 ServisBOT Inc.
✨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 ServisBOT Inc. 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.