GenAI Specialist / Data Scientist - AI Agents

• Design, build, and deploy AI Agents and Agentic AI workflows for real-world business use cases.
• Develop solutions using Large Language Models (LLMs) and relevant AI/agent frameworks and SDKs.
• Integrate AI workflows with existing applications, data sources, and cloud-based services.
• Build scalable, production-ready solutions within an AWS environment.
• Optimize agent behaviour and outputs to deliver measurable business value.
• Design and implement tests to evaluate agent performance, reliability, and impact on business processes.
• Develop clean, reusable, and maintainable solutions using Python and object-oriented programming (OOP).
• Collaborate with technical and business stakeholders within an agile development team.

• Hands-on experience with Large Language Models (LLMs) and Agentic AI / AI Agents.
• Practical experience with OpenAI and/or Anthropic Python libraries, LangChain, or comparable frameworks.
• Proven experience deploying GenAI or AI Agent solutions into production.
• Advanced Python programming skills, particularly:
• object-oriented programming (OOP),
• design patterns,
• modern Python development practices.
• Hands-on experience with AWS cloud technologies, particularly:
• AWS Glue,
• Amazon Athena,
• AWS Step Functions,
• AWS Lambda.
• Strong understanding of cloud-based architectures and production-grade AI solutions.
• Experience working in agile development environments and with tools such as Azure DevOps or Jira.
• Excellent written and spoken English.

The project involves developing production-ready GenAI capabilities within an AWS-based environment, leveraging existing data and analytics platforms. The focus will be on creating scalable AI workflows that can support and improve business processes and user experience.

This is a hands-on role for someone with practical experience working with LLMs and Agentic AI, rather than purely research-oriented Data Science.