🚀 What You Will Do

• Design and build scalable Generative AI applications, such as RAG systems and autonomous AI agents, using Python and frameworks such as LangChain or Semantic Kernel.
• Set up cloud infrastructure on Microsoft Azure or AWS to ensure models run securely and efficiently.
• Build production-ready GenAI service platforms.
• Design reusable agent architectures that can scale across the organisation.
• Integrate LLMs and agentic frameworks into existing engineering workflows.
• Define best practices for agent design, testing, and observability.
• Transform rapid AI experiments and prototypes into production-grade capabilities.

👨‍💻 What You Bring

• At least 3 years of professional experience as an AI Engineer, ML Engineer, or Software Engineer, with a strong software engineering focus.
• Strong Python skills and solid experience with cloud platforms.
• Experience setting up Docker containers and CI/CD pipelines.
• Hands-on experience building AI agents is essential.
• End-to-end software engineering experience across the full lifecycle: architecture, implementation, testing, deployment, and production.
• Comfortable working with LLMs, prompt engineering, and agentic frameworks such as LangChain, AutoGen, CrewAI, or similar technologies.
• A polyglot programming mindset, with experience or willingness to work with languages such as Python, Java, Scala, etc.