At a Glance
- Tasks: Design and build AI systems that solve real-world problems using cutting-edge technology.
- Company: Join a high-growth startup revolutionising AI software for operational automation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Inclusive environment encouraging diverse talent and supporting accessibility needs.
- Why this job: Make a tangible impact in the AI field while collaborating with a passionate team.
- Qualifications: Experience in AI systems, strong ML knowledge, and a desire to innovate.
The predicted salary is between 36000 - 60000 £ per year.
We’re working with a high-growth, Series A–backed startup building a new category of AI software to help companies automate operations using their internal (tribal) knowledge. The team is deeply technical, with a strong focus on quality, ownership, and long-term impact. This is a hands-on role for engineers who enjoy working at the intersection of applied AI research and real-world production systems.
The Role
As a Senior AI Engineer, you’ll design, build, and ship LLM-powered systems that solve real customer problems. You’ll work across the full lifecycle from early research and prototyping to production deployment and evaluation. You’ll be comfortable switching between high-level system design and low-level debugging, whether that’s tuning an evaluation framework, scaling async workflows, or understanding why an agent behaved unexpectedly in production.
What You’ll Do
- Design and implement LLM-based systems and agentic workflows
- Build and maintain evaluation frameworks to measure and improve model performance
- Develop scalable, asynchronous systems for AI orchestration
- Work on RAG pipelines, multi-agent systems, and production LLM workflows
- Collaborate closely with engineers, researchers, and product teams
- Contribute to AI strategy and long-term technical direction
What We’re Looking For
- Experience building and deploying non-trivial AI systems in production
- Strong understanding of ML and deep learning fundamentals
- Experience with LLMs, agents, RAG, or large-scale inference pipelines
- Ability to move comfortably between research papers and production code
- Curiosity, ownership, and a strong desire to keep improving
Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs.
Artificial Intelligence Engineer employer: Primis
At Primis, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unique opportunities for professional growth, with a focus on employee development and a commitment to maintaining a healthy work-life balance. Join us to be part of a forward-thinking team where your contributions will directly influence our data governance strategies and the overall success of the organisation.
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 Primis 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 Primis.
✨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 Primis.
✨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 Primis 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 Primis.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Primis 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 Primis
✨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 Primis 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.
