Senior Software Engineer – BeeAI

What You'll do

• Design, build, and improve production AI agent systems for Bee, helping create more curated and engaging ways for members to connect within an AI-driven product experience
• Develop and maintain Python-based backend services and agent workflows using PydanticAI and GCP, with a focus on scalability, maintainability, and operational reliability [Suggested]
• Contribute to agent development practices including prompt management, context orchestration, response schema design, fallback handling, and versioning approaches [Suggested]
• Build and improve evaluation tooling and feedback loops for AI systems, including experimentation frameworks, telemetry, monitoring, and agent performance analysis [Suggested]
• Partner closely with Product, Design, and Data teams to translate ambiguous opportunities into high-quality shipped features and iterative product improvements
• Apply strong engineering judgment to responsible AI development by assessing outputs for quality, safety, transparency, and bias while ensuring appropriate human oversight
• Contribute to technical direction and code quality standards through thoughtful system design, peer collaboration, mentoring, and pragmatic decision-making
• Work cross-functionally, take ownership of delivery, and adapt quickly as priorities evolve, demonstrating an agile mindset and embodying our Bumble values of Curiosity, Respect, and Excellence

About You

• Typically requires 6–8 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
• You bring strong software engineering experience building and operating scalable backend systems, with deep expertise in Python development
• You have experience building AI-powered product experiences or backend systems that support AI and ML workflows, ideally including AI agents, prompt orchestration, or evaluation tooling
• You are comfortable working with schema-validated LLM interactions, prompt structures, context management, and production safeguards for reliable AI behaviour
• You have experience with cloud infrastructure on GCP and understand how to design systems with strong observability, resilience, and operational clarity
• You independently solve complex technical problems, exercise sound judgment, and contribute effectively within cross-functional teams
• You have experience using experimentation, instrumentation, monitoring, and feedback loops to improve system quality and product outcomes over time
• You collaborate effectively across disciplines, communicate clearly with technical and non-technical partners, and demonstrate ownership from insight through delivery
• You use AI thoughtfully in your own work to improve efficiency, quality, and learning, while applying responsible, inclusive, and human-centred practices in how AI is developed and deployed

Location

• This role is based in Austin, and we ask that you’re within a commutable distance to this office, so that you’re able to come onsite regularly to collaborate across engineering teams.…