Senior GenAI Engineer & Data Scientist β€” Hybrid, London

Senior GenAI Engineer & Data Scientist β€” Hybrid, London

London Full-Time 70000 - 90000 € / year (est.) Home office (partial)
EPAM Systems, Inc.

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 € 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 excellent employer for those seeking to thrive in the cutting-edge field of AI and data science. With a hybrid work model based in London, employees benefit from a collaborative and innovative work culture that fosters professional growth and development. The company offers competitive benefits and unique opportunities to work on transformative projects in a high-tech environment, making it an attractive choice for talented individuals looking to make a meaningful impact.

EPAM Systems, Inc.

Contact Detail:

EPAM Systems, Inc. Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior GenAI Engineer & Data Scientist β€” Hybrid, London

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and data science community, especially those at EPAM Systems. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Generative AI projects or any multi-agent systems you've built. This will give you an edge and demonstrate your hands-on experience.

✨Tip Number 3

Prepare for the interview by brushing up on your Python skills and understanding LLMs. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.

We think you need these skills to ace Senior GenAI Engineer & Data Scientist β€” Hybrid, London

Generative AI
Agentic AI
Multi-Agent Systems
Production-Ready Applications
Python
LLMs (Large Language Models)
Orchestration Patterns

Some tips for your application 🫑

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 don’t 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 you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!

Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to know what you've built and how it relates to 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 don’t miss out on any important updates from our team!

How to prepare for a job interview at EPAM Systems, Inc.

✨Know Your Generative AI Inside Out

Make sure you brush up on the latest trends and technologies in Generative AI and Agentic AI. Be prepared to discuss your previous projects and how you've applied your expertise in Python, especially with LLMs and orchestration patterns.

✨Showcase Your Problem-Solving Skills

During the interview, be ready to tackle hypothetical scenarios or case studies related to multi-agent systems. Think about how you would approach designing a solution and articulate your thought process clearly.

✨Ask Insightful Questions

Prepare some thoughtful questions about the company's current projects and future direction in AI. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.

✨Demonstrate Your Team Spirit

Since this is a hybrid role, highlight your experience working in diverse teams and how you adapt to different work environments. Share examples of successful collaborations that led to impactful results.