Requirements

· Bachelor’s Degree in Computer Science, Engineering, or another related field

· 5+ years of professional software engineering experience

· Proven production experience building and deploying AI/LLM-powered systems

· Strong hands-on experience using agentic coding tools (e.g., Claude Code, GitHub Copilot, similar) as part of daily development workflows.

· Practical experience integrating LLM APIs, embeddings, or ML services.

· Hands-on experience working with agent frameworks (e.g., Microsoft Agent Framework, LangChain, or similar) in real-world applications.

· Leverage low-code and no-code automation platforms where appropriate, while ensuring scalability, governance, and maintainability.

· Design and build internal automation systems powered by AI

· Develop agentic workflows capable of executing multi-step tasks with minimal human intervention

· Integrate LLMs and other AI services into production systems responsibly

· Build software services that support internal automation

· Partner with product and operations teams to identify high-impact automation opportunities

· Ensure systems are reliable, observable, secure, and cost-efficient

· Monitor, evaluate, and improve AI system performance over time

· Document systems and best practices for internal use

· Contribute to engineering standards and architectural decisions