At a Glance
- Tasks: Design and develop cutting-edge Generative AI solutions and multi-agent systems.
- Company: Join EPAM Systems, a leader in innovative tech solutions.
- Benefits: Enjoy competitive pay, hybrid work, and growth opportunities.
- Other info: Thriving environment with excellent career advancement potential.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Expertise in Python and strong understanding of LLMs required.
The predicted salary is between 70000 - 90000 β¬ per year.
EPAM Systems, Inc. is seeking a Senior AI Engineer/Data Scientist in London, United Kingdom, to work in a hybrid setting. This role focuses on designing and developing Generative AI and Agentic AI solutions, building multi-agent systems, and delivering production-ready applications.
The ideal candidate has significant expertise in Python and a thorough understanding of LLMs and orchestration patterns. The position offers competitive benefits and opportunities for growth in a high-tech environment.
Senior GenAI Engineer & Data Scientist β Hybrid, London employer: EPAM Systems, Inc.
EPAM Systems, Inc. is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, the company offers competitive benefits and opportunities to work on cutting-edge Generative AI projects, ensuring that team members are at the forefront of technological advancements. The hybrid work model promotes flexibility and work-life balance, making it an ideal place for talented professionals seeking meaningful and rewarding careers.
StudySmarter Expert Adviceπ€«
We think this is how you could land Senior GenAI Engineer & Data Scientist β Hybrid, London
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your Generative AI projects or any relevant work. This is your chance to shine and demonstrate what you can bring to the table.
β¨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss LLMs and orchestration patterns. Practice common interview questions and think about how your experience aligns with the role.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior GenAI Engineer & Data Scientist β Hybrid, London
Some tips for your application π«‘
Tailor Your CV:Make sure your CV highlights your experience with Generative AI and Python. We want to see how your skills align with the role, so donβt be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why youβre passionate about AI and how your background makes you a perfect fit for our team. We love hearing your story!
Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them in your application. Weβre keen to see your hands-on experience with LLMs and multi-agent systems, so donβt hold back!
Apply Through Our Website:We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for this exciting opportunity. Letβs get started!
How to prepare for a job interview at EPAM Systems, Inc.
β¨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with LLMs and orchestration patterns. Prepare to explain how you've applied these technologies in past projects, as this will show your depth of knowledge and practical experience.
β¨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical challenges during the interview. Think about how you would approach designing a multi-agent system or developing a Generative AI solution. Practising common problem-solving scenarios can help you articulate your thought process clearly.
β¨Research EPAM Systems
Familiarise yourself with EPAM Systems and their work in the AI space. Understanding their projects and values will not only help you tailor your answers but also demonstrate your genuine interest in the company and the role.
β¨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project expectations, and growth opportunities within the company. This shows that you're not just interested in the job, but also in how you can contribute to and grow with the team.