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- Tasks: Design and deploy LLM-powered systems to tackle real operational challenges.
- Company: Exciting Series A startup focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Why this job: Join a team pushing AI boundaries while making a tangible impact.
- Qualifications: Experience in building production AI systems and strong ML foundations.
- Other info: Inclusive culture encouraging diverse talent and continuous learning.
The predicted salary is between 28800 - 48000 £ per year.
We're partnered with a Series A startup creating a new category of AI software that helps companies automate operations by capturing and operationalising their institutional knowledge. The team is engineering-led, with a culture built on technical rigor, ownership, and sustainable impact.
This role sits at the intersection of applied AI research and production engineering - a role that is ideal for builders who want to push the boundaries of what's possible with LLMs while shipping real systems that customers depend on.
The Opportunity: As AI Engineer, you'll be responsible for the design and deployment of LLM-powered systems that solve genuine operational challenges. Your work will span the full development cycle: from prototyping and experimentation to production deployment, monitoring, and continuous improvement. You'll need to be versatile - you might be refining an evaluation harness; the next, scaling async workflows or investigating why an agent made an unexpected decision in production.
Responsibilities:
- Design and implement LLM-based systems and agentic workflows that solve real customer problems
- Build robust evaluation frameworks to measure, track, and improve model behavior
- Develop scalable asynchronous systems for AI orchestration and task execution
- Work on RAG pipelines, multi-agent architectures, and production LLM infrastructure
- Collaborate across engineering, research, and product to define what gets built
- Shape AI strategy and contribute to long-term technical direction
About You:
- Proven experience building and shipping production AI systems (not just prototypes)
- Strong foundations in machine learning and deep learning principles
- Hands-on experience with LLMs, agents, RAG systems, or large-scale inference pipelines
- Comfort moving between research papers and production codebases
- Natural curiosity, strong sense of ownership, and drive for continuous improvement
We encourage underrepresented talent to apply to all our roles & support accessibility needs.
AI Engineer in Slough employer: Primis
Contact Detail:
Primis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and production systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your past experiences and how they relate to the role. Practice coding challenges and be prepared to explain your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to make an impact in the AI space.
We think you need these skills to ace AI Engineer in Slough
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! Share specific examples of projects or experiences that highlight your love for building and deploying AI systems. We want to see your excitement for pushing boundaries!
Tailor Your Application: Make sure to customise your application to reflect the job description. Highlight your experience with LLMs and production AI systems, and connect your skills to the responsibilities listed. This helps us see how you fit into our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate a well-structured application that makes it easy for us to understand your qualifications.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Primis
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, machine learning, and deep learning principles. Be ready to discuss specific projects you've worked on that showcase your experience in building and shipping production AI systems.
✨Show Your Problem-Solving Skills
Prepare to talk about real operational challenges you've tackled in the past. Think of examples where you designed or implemented LLM-based systems or agentic workflows that made a difference. This will demonstrate your ability to apply your skills to solve genuine customer problems.
✨Be Ready to Collaborate
Since this role involves working across engineering, research, and product teams, be prepared to discuss how you've successfully collaborated in the past. Highlight any experiences where you contributed to shaping AI strategy or technical direction.
✨Embrace Continuous Improvement
Show your natural curiosity and drive for continuous improvement. Talk about how you've iterated on your work, whether it was refining evaluation frameworks or scaling async workflows. This will highlight your commitment to delivering high-quality results.
