At a Glance
- Tasks: Design and deploy LLM-based applications while optimising model performance.
- Company: Join Halian, a leading managed services and recruitment agency.
- Benefits: Earn up to £95,000 with competitive salary and growth opportunities.
- Other info: Collaborative environment with exciting projects and career advancement.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 5+ years in software engineering with expertise in Python/Java and LLMs.
The predicted salary is between 85000 - 95000 € per year.
Halian | Managed Services, Recruitment Agency & Contract Staffing is seeking a dedicated AI Engineer to build and own AI capability from the ground up. You'll design and deploy LLM-based applications, optimize model performance, and collaborate across teams to identify impactful AI use cases.
Ideal candidates have:
- 5+ years in software engineering
- Expertise in Python/Java
- Experience with LLMs and cloud environments
Competitive salary up to £95,000 based on experience.
First AI Engineer — Build LLM Apps & Scalable Backend employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
Halian is an exceptional employer that fosters a collaborative and innovative work culture, perfect for AI Engineers looking to make a significant impact in the tech industry. With competitive salaries and a focus on employee growth, you will have access to continuous learning opportunities and the chance to work on cutting-edge LLM applications in a dynamic environment. Located in a vibrant area, Halian offers a unique blend of professional development and a supportive community, making it an ideal place for those seeking meaningful and rewarding employment.
Contact Detail:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land First AI Engineer — Build LLM Apps & Scalable Backend
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups, and connect on LinkedIn. 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 LLM applications and any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python/Java skills and be ready to discuss your experience with LLMs. Practice common technical questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Apply through our website! We make it easy for you to find the right role. Plus, applying directly shows your enthusiasm and commitment to joining our team at Halian.
We think you need these skills to ace First AI Engineer — Build LLM Apps & Scalable Backend
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python/Java and any LLM projects you've worked on. We want to see how your skills align with what we're looking for!
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the job description. Mention specific AI use cases you’ve tackled and how they relate to our needs.
Be Clear and Concise:Keep your application straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and experiences.
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 don’t miss out on any updates!
How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and Java, as these are crucial for the role. Brush up on your knowledge of LLMs and cloud environments, and be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've optimised model performance or tackled complex engineering challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Collaborate Like a Pro
Since collaboration is key in this role, think of instances where you’ve worked across teams. Be ready to discuss how you identified AI use cases and how you communicated your ideas effectively to non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI strategy and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
