Staff Software Engineer, Bee AI

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 layer on top of 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 product.

This is a highly impactful individual contributor role with broad influence across engineering, product, and data. You’ll operate as a technical leader, setting direction for how we build, evaluate, and scale AI agents - while fostering a culture that collaborates with purpose, takes ownership, and sees ideas through to real-world impact.

What you'll do:

• Lead the design and evolution of AI-powered backend systems that support conversation guidance, matchmaking, and personalised user experiences within Bee AI
• Architect and scale agent-based systems, including prompt management, context orchestration, and evaluation frameworks, to ensure high-quality, reliable AI interactions
• Establish best practices for building, testing, monitoring, and iterating on AI agents, creating a repeatable and scalable development lifecycle across the team
• Drive experimentation and prototyping of new AI capabilities, translating early concepts into production-ready systems that deliver measurable user value
• Partner cross-functionally with Product, Data, and Trust teams to shape AI-driven features that are both innovative and responsible, demonstrating Respect in how technology impacts people
• Contribute deep expertise in Python (including PydanticAI) and Google Cloud Platform (GCP) to build robust, scalable, and observable services
• Define and implement evaluation strategies for LLM-powered systems, including offline and online metrics, human-in-the-loop validation, and continuous improvement loops
• Act as a technical advisor and thought leader, influencing architecture and long-term strategy across teams while embodying an agile mindset and taking ownership of outcomes

About you:

Deep experience building and scaling backend systems, with strong expertise in Python and modern service-oriented or distributed architectures

Proven track record of designing and deploying AI/ML-powered products, particularly involving LLMs, agents, or recommendation/personalisation systems

Hands-on experience with prompt engineering, context management, and evaluation of AI systems, with a strong understanding of their limitations and trade-offs

Experience working with cloud platforms such as GCP, including deploying, monitoring, and scaling production systems

Ability to operate at a system level, setting technical direction and influencing across teams while remaining hands-on with implementation

Demonstrated ability to collaborate with purpose, take ownership of complex problems, and see solutions through from insight to real-world impact

Strong commitment to responsible and inclusive AI practices, applying human judgment to ensure fairness, safety, and quality in outputs

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

High level of AI fluency - you actively leverage AI as a development partner, contribute to evolving best practices, and help others adopt AI effectively and responsibly

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