At a Glance
- Tasks: Architect advanced multi-agent systems and secure LLM integrations.
- Company: Uneek Global, a leader in next-gen AI solutions.
- Benefits: Hybrid work model, competitive pay, and potential for contract extension.
- Other info: Join a dynamic team and shape the future of AI.
- Why this job: Tackle complex challenges in cutting-edge AI environments.
- Qualifications: Strong production-grade Python engineering experience required.
The predicted salary is between 60000 - 80000 € per year.
Uneek Global is looking for an AI Engineer for a hybrid role based in London, with 2–3 days onsite per week. The successful candidate will work on architecting advanced multi-agent systems and memory write-back pipelines, alongside secure LLM integrations. They will need strong experience in production-grade Python engineering. This is a 6-month contract, likely to extend, offering a unique opportunity to tackle complex challenges in next-generation AI environments.
AI Engineer: Agentic LLMs & Memory (Hybrid London) employer: Uneek Global
Uneek Global is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a focus on employee growth, you will have access to cutting-edge projects in AI, alongside opportunities for professional development and networking within a vibrant tech community. The hybrid work model ensures flexibility while still allowing for meaningful in-person interactions, making it an ideal environment for those looking to make a significant impact in their field.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer: Agentic LLMs & Memory (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those who work with multi-agent systems or LLMs. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to AI and memory systems. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges that focus on algorithms and data structures, as these are often key topics in AI engineering roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes put you ahead of the competition. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI Engineer: Agentic LLMs & Memory (Hybrid London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python engineering and any relevant projects you've worked on. We want to see how your skills align with the role of AI Engineer, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about working with multi-agent systems and memory write-back pipelines. Let us know what makes you a great fit for this unique opportunity.
Showcase Your Projects:If you've worked on any production-grade projects, especially those involving LLM integrations, make sure to mention them. We love seeing real-world applications of your skills, so share links or descriptions of your work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting role. Don’t miss out on the chance to join our team!
How to prepare for a job interview at Uneek Global
✨Know Your Python Inside Out
Since the role requires strong experience in production-grade Python engineering, make sure you brush up on your Python skills. Be ready to discuss your past projects and how you've tackled challenges using Python. Practising coding problems can also help you demonstrate your technical prowess.
✨Familiarise Yourself with AI Concepts
Given that you'll be working on advanced multi-agent systems and memory write-back pipelines, it's crucial to understand these concepts thoroughly. Research recent advancements in AI and be prepared to discuss how they relate to the role. This shows your passion and keeps you ahead of the game.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach architecting a multi-agent system or integrating secure LLMs. Practising these scenarios will help you articulate your thought process clearly during the interview.
✨Show Enthusiasm for the Role
Employers love candidates who are genuinely excited about the position. Make sure to express your interest in tackling complex challenges in next-generation AI environments. Share why this role at Uneek Global excites you and how it aligns with your career goals.
