AWS AI Developer

Capgemini is the business transformation partner for enterprises in the age of AI. It combines AI, technology, and human ingenuity to help organizations operate, innovate, and grow. Capgemini has nearly 60 years of expertise, over 410,000 team members in more than 50 countries, and reported 2025 revenues of €22.5 billion.

• 2–4 years of experience building and deploying AI/ML solutions, preferably with AWS exposure.
• Practical knowledge of generative AI concepts such as LMs, RAG, prompt design, and foundation models.
• Basic working knowledge of AWS infrastructure components including EC2, S3, Lambda, RDS, CloudWatch, IAM, and API Gateway.
• Willingness to advance into architecting GenAI pipelines on AWS.
• Good English communication skills at C1 level.
• Solid skills in Python, including clean code practices, REST APIs, and microservices.
• AWS certification is a plus or willingness to obtain one.

• Help build and ship generative AI features using AWS-native tools such as Amazon Bedrock, Amazon S3, AWS Glue, and AWS Lambda.
• Support the lifecycle of Generative AI features including data ingestion, prompt design, testing, deployment, and monitoring.
• Contribute to LLM-powered applications and build retrieval-augmented generation (RAG) setups.
• Learn and apply best practices for scalability, security, observability, cost awareness, and responsible AI.
• Collaborate with engineering teams to integrate AI/ML functionality into APIs, microservices, and business applications.
• Stay updated on developments in the AWS generative AI ecosystem and share insights with the team.

Capgemini is committed to diversity and inclusion, ensuring fairness in employment practices by evaluating individuals based on qualifications and performance, not personal characteristics.