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- Tasks: Design and operate reliable AI systems for complex workflows using large language models.
- Company: Venture-backed AI technology company based in London.
- Benefits: Competitive salary, equity options, and opportunities for professional growth.
- Why this job: Shape the future of AI-driven solutions in a dynamic production environment.
- Qualifications: Strong Python skills and experience in deploying AI systems.
- Other info: Collaborate with cross-functional teams to ensure predictable system behaviour.
The predicted salary is between 36000 - 60000 £ per year.
A venture-backed AI technology company in London is seeking an Applied AI Engineer to design and operate reliable AI systems for complex workflows. The successful candidate will turn large language models into operational systems and work closely with cross-functional teams to ensure these systems behave predictably. The role emphasizes strong Python skills and experience in deploying AI systems, making it a significant opportunity to shape AI-driven solutions in a production environment.
Production AI Engineer: LLM & RAG Pipelines, Equity in London employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI Engineer: LLM & RAG Pipelines, Equity in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large language models and AI systems. This is your chance to demonstrate your Python prowess and how you've tackled real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Think about how you'd explain your past experiences with deploying AI systems and working in cross-functional teams. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about shaping AI-driven solutions. It shows initiative and gives us a chance to see your enthusiasm firsthand.
We think you need these skills to ace Production AI Engineer: LLM & RAG Pipelines, Equity in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in real-world projects, especially in deploying AI systems. Don't hold back on the details!
Tailor Your Experience: When writing your application, connect your past experiences to the role. We’re looking for someone who can turn large language models into operational systems, so share any relevant projects or workflows you've worked on.
Collaborate and Communicate: Since this role involves working with cross-functional teams, emphasise your teamwork and communication skills. We love candidates who can collaborate effectively and ensure systems behave predictably.
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 important updates from our team!
How to prepare for a job interview at Data Idols
✨Know Your Python Inside Out
Since the role emphasises strong Python skills, make sure you brush up on your coding knowledge. Be prepared to discuss your experience with Python in detail, including any projects where you've deployed AI systems. Practising coding challenges can also help you demonstrate your proficiency.
✨Understand LLMs and RAG Pipelines
Familiarise yourself with large language models (LLMs) and retrieval-augmented generation (RAG) pipelines. Be ready to explain how these technologies work and how you've applied them in previous roles. This will show that you’re not just a coder but someone who understands the underlying principles of the systems you'll be working with.
✨Showcase Your Teamwork Skills
This position involves working closely with cross-functional teams, so be prepared to share examples of how you've collaborated with others in the past. Highlight any experiences where you’ve successfully navigated challenges in team settings, as this will demonstrate your ability to work effectively in a collaborative environment.
✨Prepare Questions About Their AI Systems
Interviews are a two-way street, so come armed with insightful questions about the company's AI systems and workflows. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Ask about their current projects or challenges they face in deploying AI solutions.
