At a Glance
- Tasks: Integrate and configure an AI platform in complex customer environments.
- Company: Dynamic UK tech company focused on AI solutions for large organisations.
- Benefits: Share options, flexible working, and real mentoring from senior engineers.
- Other info: Fast-paced environment with clear progression to senior roles.
- Why this job: Master AI engineering with a live platform used by major enterprises.
- Qualifications: 2-4 years of software engineering experience, strong Python skills, and cloud exposure.
The predicted salary is between 63000 - 77000 £ per year.
Mid-level engineering role deploying an AI platform into complex customer environments.
Integration, configuration and extension of a proprietary AI operating system.
Strong mentoring from senior engineers and a clear route to senior.
About the Company:
My client is a UK technology company building an AI operating and orchestration layer that puts intelligent systems to work inside large, complex organisations where accuracy and accountability really matter. The platform is already live and in daily operational use with major customers. The engineering group is small, senior and unusually fast moving, with AI tooling built into how the team genuinely works rather than bolted on afterwards.
The Role:
Getting a powerful AI platform to work inside a customer environment is a real engineering discipline, and this is a chance to learn it properly alongside people who already do it well. You will build integrations with customer data and systems, configure and extend the platform, and help make sure what goes live is robust and observable. You will have your own areas of ownership from early on, with senior engineers close by rather than looking over your shoulder. It suits someone a few solid years into their career who wants to get very good at AI engineering quickly.
Key Responsibilities:
- Build integrations with customer data sources and systems.
- Configure and extend platform capability to meet customer requirements.
- Implement retrieval and agent configurations under senior guidance.
- Contribute to monitoring, observability and evaluation of live solutions.
- Diagnose and resolve issues in production and secure environments.
- Document deployment steps and patterns so they can be repeated.
- Take part actively in code and design review.
- Feed platform gaps and practical lessons back to core engineering.
What You'll Need:
Essential:
- 2 to 4 years commercial software engineering experience.
- Solid Python and experience working with APIs and integrations.
- Some hands-on exposure to cloud infrastructure, ideally AWS.
- Practical interest in large language models and agent-based systems, whether professional or self-directed.
- Comfortable asking questions and working things out in unfamiliar territory.
- Eligible for UK security clearance.
Desirable / Nice to Have:
- Any experience deploying software into customer or restricted environments.
- Familiarity with graph databases or vector retrieval infrastructure.
Why Apply?
- Get properly good at AI engineering somewhere it is used in earnest.
- Platform already live with significant enterprise customers.
- Share options as part of the package.
- Modern AI tooling is standard practice, not a pilot scheme.
- Flexible working pattern.
- Real mentoring from a small, very senior engineering team.
- Clear and visible progression route to senior.
Solutions Engineer (AI Platforms) employer: Ocho People
As a leading IT Managed Services provider in Northern Ireland, our company offers an exciting opportunity for an IT Field Service Engineer to thrive in a dynamic field-based role. We pride ourselves on fostering a supportive work culture that values flexibility, teamwork, and professional growth, ensuring our employees are equipped with the skills and resources they need to succeed. With competitive salaries, performance bonuses, and the chance to work across diverse client sites, we provide a rewarding environment for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Engineer (AI Platforms)
✨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 Ocho People 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 Ocho People.
✨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 Ocho People.
✨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 Ocho People 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 Solutions Engineer (AI Platforms)
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 Ocho People.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Ocho People 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 Ocho People
✨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 Ocho People 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.
