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About the Role:
- You will develop, evaluate, and improve intelligent AI agents powered by Large Language Models on an AI-powered media planning platform.
- You will work with AWS Bedrock and modern AI technologies to build reliable agentic workflows and optimize agent behavior.
- You will ensure AI-generated outputs are accurate, secure, and consistent, directly impacting production AI quality and scalability.
Key Responsibilities:
- Design, develop, and maintain AI agents and LLM-powered applications using Python and AWS services.
- Implement and optimize prompt engineering, agent orchestration, and intelligent decision-making workflows.
- Develop evaluation frameworks, performance baselines, and automated tests for agent accuracy, reliability, and regression validation.
Requirements:
- Solid professional experience in AI engineering, machine learning engineering, or software development with production AI applications.
- Strong proficiency in Python and hands-on experience with LLMs, agentic AI workflows, prompt engineering, and structured output generation.
- Experience with AWS services (Bedrock, Lambda, S3, CloudWatch) and software engineering best practices including CI/CD and cloud-based development.
CI&T
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they foster a collaborative culture where AI is embedded in how they work and innovate every day.