Lead Software Engineer - Bee AI

Typically requires 8–10 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.

You bring deep software engineering experience in production systems, with strong Python expertise and a track record of building scalable backend services

You have hands-on experience building or guiding AI and ML-powered product experiences, especially around AI agents, prompt design, context orchestration, and evaluation strategies

You are comfortable designing schema-validated LLM interactions, managing prompts and response structures, and creating deterministic fallbacks and safeguards for production use

You have experience with cloud infrastructure on GCP and know how to design systems with strong observability, resilience, and operational clarity

You are skilled at defining technical approaches for ambiguous, high-impact problems, using independent judgment while influencing across teams and creating alignment

You know how to build evaluation and feedback loops for AI systems, including instrumentation, experimentation, monitoring, and iterative improvement of agent behaviour over time

You collaborate effectively across disciplines, take ownership of outcomes, and adapt quickly as priorities evolve, demonstrating an agile mindset and working with purpose

You use AI thoughtfully in your own work to improve speed, quality, and learning, while ensuring responsible, inclusive, and human-centred application