At a Glance
- Tasks: Design and develop cutting-edge AI systems and proofs of concept.
- Company: Dynamic tech firm at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting challenges and career advancement.
- Why this job: Join a passionate team and shape the future of AI technology.
- Qualifications: 3+ years in production ML systems and an AI-focused degree.
The predicted salary is between 60000 - 80000 £ per year.
A technology firm is seeking an AI engineer to develop and maintain their in-house agentic RAG framework. The role involves designing advanced AI systems and developing proofs of concept, requiring a strong background in AI and engineering principles.
Candidates should have at least 3 years of experience with production ML systems and a relevant AI-focused degree. This exciting opportunity demands passion for AI and resilience in a high-paced environment.
Agentic RAG & LLM Systems Engineer employer: Harrington Starr
Join a forward-thinking technology firm that champions innovation and creativity in the AI sector. With a vibrant work culture that fosters collaboration and continuous learning, employees are encouraged to grow their skills through hands-on projects and professional development opportunities. Located in a dynamic tech hub, this role offers the chance to be at the forefront of AI advancements while enjoying a supportive environment that values resilience and passion.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic RAG & LLM Systems Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, attend meetups or webinars, and don’t be shy about sharing your passion for agentic RAG frameworks. You never know who might have a lead on that perfect job!
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects related to production ML systems and advanced AI designs. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of AI principles and engineering practices. Practice coding challenges and be ready to explain your thought process clearly – it’s all about showing how you tackle problems!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Agentic RAG & LLM Systems Engineer
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 fuelled your passion and how they relate to the role. We love seeing candidates who are genuinely excited about the field.
Highlight Relevant Experience:Make sure to detail your experience with production ML systems. We want to see how your background aligns with our needs, so don’t hold back on showcasing your skills and achievements in this area. Tailor your CV and cover letter to reflect this!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Use bullet points where possible to make your key achievements stand out. Remember, we’re looking for a quick understanding of your fit for the role!
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 the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Harrington Starr
✨Know Your AI Stuff
Make sure you brush up on your knowledge of agentic RAG frameworks and production ML systems. Be ready to discuss your past projects and how they relate to the role. This shows your passion for AI and that you’re not just reading from a script.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach designing advanced AI systems or developing proofs of concept. Practising these scenarios can help you articulate your thought process clearly.
✨Demonstrate Resilience
Since the role demands resilience in a high-paced environment, be ready to share examples of how you've handled pressure in previous jobs. Highlighting your ability to adapt and thrive under stress will resonate well with the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and future projects. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street!
