At a Glance
- Tasks: Own AI projects from conception to production and enhance agent capabilities.
- Company: Capsa AI, a leading tech firm in Greater London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on maintaining code quality.
- Why this job: Join a fast-paced environment and make a real impact in AI innovation.
- Qualifications: 4+ years in software engineering with expertise in AI/ML, Python, and LLMs.
The predicted salary is between 70000 - 90000 € per year.
Capsa AI, located in Greater London, is seeking Staff / Senior AI Engineers who will own projects from conception to production. Candidates should have 4+ years of software engineering experience with a focus in AI/ML systems.
Responsibilities include:
- Improving AI agent capabilities
- Maintaining code quality
- Integrating new data sources
This is a hybrid role, requiring in-person work 4 days a week. Candidates with experience in Python, LLMs, and agent frameworks will thrive in this fast-paced, high-impact environment.
Staff AI Engineer: LLMs & Agent Architect employer: Capsa AI
Capsa AI is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer opportunities to lead impactful projects in AI/ML, while enjoying a hybrid work model that promotes work-life balance. Join us to be part of a collaborative team that values creativity and excellence, ensuring your contributions make a meaningful difference in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI Engineer: LLMs & Agent Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML community, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings at Capsa AI or similar companies.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, LLMs, and agent frameworks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail, especially how you've improved AI agent capabilities.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Staff AI Engineer: LLMs & Agent Architect
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 4+ years of software engineering experience, especially in AI/ML systems. We want to see how you've tackled projects from conception to production, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the specific skills mentioned in the job description, like Python, LLMs, and agent frameworks. This shows us you’re serious about the role and understand what we’re looking for.
Keep It Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points where possible to break down your achievements and skills.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Capsa AI.
How to prepare for a job interview at Capsa AI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML systems, especially LLMs and agent frameworks. Be ready to discuss your past projects and how you've improved AI capabilities. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Coding Skills
Since maintaining code quality is key for this role, be prepared to talk about your coding practices. Bring examples of your work in Python and any relevant projects. If possible, demonstrate how you approach problem-solving in a coding context.
✨Understand the Company Culture
Capsa AI values a fast-paced environment, so research their culture and recent projects. Tailor your answers to reflect how you can thrive in such an atmosphere. Showing that you align with their values can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the challenges they face with AI agents or how they integrate new data sources. This not only shows your interest but also helps you gauge if the company is the right fit for you.
