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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 opportunities 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 30000 - 50000 £ 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! Connect with folks in the industry on LinkedIn, attend meetups, and join relevant online communities. The more people you know, the better your chances of landing that dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI solutions or programming in Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to Generative AI. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨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 genuinely interested in joining our collaborative community at Capgemini.
We think you need these skills to ace GEN AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Generative AI Engineer role. Highlight your programming skills in Python and any relevant projects you've worked on, especially those involving LLMs or cloud technologies.
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 great fit for Capgemini. Don’t forget to mention specific technologies or frameworks you’ve worked with that are relevant to the job.
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your skills in AI, be sure to include them. Whether it's a GitHub repo or a case study, showing off your work can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team at Capgemini!
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 challenges.
✨Understand Capgemini's Values
Familiarise yourself with Capgemini’s mission and values. Be prepared to discuss how your personal values align with theirs, especially regarding sustainability and inclusivity. This shows that you’re not just a tech whiz but also a good cultural fit.
✨Practice Your Communication Skills
As a Generative AI Engineer, you'll need to explain complex concepts clearly. Practice articulating your ideas and solutions in a way that’s easy to understand. Consider doing mock interviews with friends or using online platforms to refine your delivery.
