Several years of production software engineering experience in Python, TypeScript, Java or comparable stacks.-Hands-on experience building with LLMs and agents on at least one major platform, such as Anthropic, Open AI, Google or Microsoft.-Practical understanding of agentic patterns: tool use, retrieval, prompting, model behaviour, evaluation and multi-agent workflows such as orchestration, delegation and self-reflection.-Experience with APIs, databases, cloud platforms, integration surfaces or comparable deployment environments.-Strong debugging, testing and integration discipline.-Experience working in ambiguous delivery contexts with customers, users or cross functional technical teams.-Ability to balance fast prototyping with production-quality engineering. Experience taking agentic or AI systems from prototype to production rollout.-Experience with agent orchestration frameworks, MCP servers or custom tool integrations.-Experience with data and retrieval pipelines, workflow automation or model deployment.-Experience with evaluation, observability, troubleshooting or release safeguards for AI systems.-A vendor certification on one of the major AI platforms (Anthropic, Open AI, Google or Microsoft).