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For Companies At a Glance
- Tasks: Design and develop advanced AI solutions that transform customer experiences and operational efficiency.
- Company: Join Capgemini, a global leader in tech transformation with a diverse and collaborative culture.
- Benefits: Empowering career growth, competitive salary, and a chance to work on impactful projects.
- Why this job: Shape the future of technology while making a real difference in the world.
- Qualifications: Strong Python programming skills and experience with APIs and cloud technologies.
- Other info: Be part of a dynamic team driving innovation in AI and sustainability.
The predicted salary is between 28800 - 48000 £ per year.
GET THE FUTURE YOU WANT!
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
YOUR ROLE
As a Generative AI Engineer in the FS domain, you will design, develop, and deploy advanced AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic frameworks. Your work will directly impact customer experience, fraud detection, compliance automation, financial advisory, and operational efficiency.
YOUR PROFILE
- Strong programming skills in Python
- API development (Flask, FastAPI, AWS API Gateway) via REST APIs, event driven architectur
- Cloud – AWS (preferred)/ Google/ Azure
- AWS Step Functions, CloudWatch, Lambda, EKS, Dynamo DB, S3, RDS, etc.
- AWS Bedrock (Claude, Titan, OpenSearch serverless, Guardrail, etc.)
- Large Language Models
- RAG – Embeddings Models, Vector DB & search method
- Prompt Engineering
- Model/RAG Evaluation
- Natural Language Processing
- Agentic workflow, orchestration
- GenAI – DevOps CI/CD
- GenAI enterprise level – use case & involvement
ABOUT CAPGEMINI
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.5 billion.
Get the future you want | www.capgemini.com
GEN AI Engineer employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GEN AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Capgemini employees on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI solutions. This is your chance to demonstrate what you can bring to the table beyond just words on paper.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Practice common coding challenges and be ready to discuss your experience with Python and API development.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Capgemini family.
We think you need these skills to ace GEN AI Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any experience with APIs. We want to see how you can bring your technical expertise to the table, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Generative AI Engineer role. Mention specific projects or experiences that relate to LLMs, RAG, or any relevant technologies. This shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and skills. Avoid fluff and focus on what matters!
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’s super easy!
How to prepare for a job interview at Capgemini
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, AWS services, and Large Language Models. Brush up on your API development skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using AI solutions. Think about how your work has improved customer experience or operational efficiency, and be ready to explain your thought process during those projects.
✨Understand Capgemini's Values
Familiarise yourself with Capgemini’s mission and values. They’re all about collaboration and sustainability, so think of ways you can align your personal values with theirs and demonstrate this during the interview.
✨Practice Prompt Engineering
Since the role involves Generative AI, practice crafting effective prompts for LLMs. Be prepared to discuss your approach to prompt engineering and how it impacts model performance, as this will likely come up in technical discussions.
