About the role
At Bumble, we’re on a mission to create a world where all relationships are healthy and equitable. The Bee AI team is reimagining how people meet by introducing an intelligent, AI-powered product that sits alongside Bumble Date — helping members connect in more curated, thoughtful, and human ways, while preserving the magic of matching and conversation at the core of the Bumble experience. To get a glimpse of what we’re building, you can explore our product vision here: https://www.instagram.com/p/DVwmOw_jKUf/ As a Senior Software Engineer, you’ll help shape and scale the systems powering this next generation of connection. Bee is already live and evolving quickly, and this role will play an important part in building intelligent agent experiences that guide interactions, enhance matchmaking, and continuously learn from member behaviour. You’ll contribute to how AI shows up responsibly and meaningfully in people’s experiences, bringing curiosity, strong engineering judgment, and a commitment to thoughtful experimentation. This is a highly collaborative individual contributor role where you’ll work closely with engineering, product, design, and data partners to turn ambitious ideas into reliable, scalable product experiences. You’ll help drive technical excellence across the Bee AI platform while collaborating with purpose, taking ownership, and seeing ideas through to meaningful member impact. \n
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. We have a hybrid environment that requires you to be in the office Monday - Wednesday. Please note: We are unable to offer Visa sponsorship at this time \n $190,000 - $215,000 a year For base