Senior Software Engineer – BeeAI

About the role

The Bee AI team is reimagining how people meet by introducing an intelligent, AI-powered product that sits alongside Bumble Date. This role will play an important part in building intelligent agent experiences that guide interactions, enhance matchmaking, and continuously learn from member behavior.

Responsibilities

• 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
• Contribute to agent development practices including prompt management, context orchestration, response schema design, fallback handling, and versioning approaches
• Build and improve evaluation tooling and feedback loops for AI systems, including experimentation frameworks, telemetry, monitoring, and agent performance analysis
• 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

Requirements

• Typically requires 6-8 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills
• Strong software engineering experience building and operating scalable backend systems, with deep expertise in Python development
• Experience building AI-powered product experiences or backend systems that support AI and ML workflows, ideally including AI agents, prompt orchestration, or evaluation tooling
• Experience with cloud infrastructure on GCP and understanding how to design systems with strong observability, resilience, and operational clarity
• Independent problem-solving skills, ability to exercise sound judgment, and effective collaboration within cross-functional teams
• Experience using experimentation, instrumentation, monitoring, and feedback loops to improve system quality and product outcomes over time
• Effective communication and collaboration across disciplines, clear articulation of insights, and demonstrated ownership from idea to delivery
• Thoughtful use of AI in work to improve efficiency, quality, and learning, while applying responsible, inclusive, and human-centered practices in AI development and deployment

Qualifications

• Typically requires 6-8 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills
• Strong software engineering experience building and operating scalable backend systems, with deep expertise in Python development
• Experience building AI-powered product experiences or backend systems that support AI and ML workflows, ideally including AI agents, prompt orchestration, or evaluation tooling
• Experience with cloud infrastructure on GCP and understanding how to design systems with strong observability, resilience, and operational clarity
• Independent problem-solving skills, ability to exercise sound judgment, and effective collaboration within cross-functional teams
• Experience using experimentation, instrumentation, monitoring, and feedback loops to improve system quality and product outcomes over time
• Effective communication and collaboration across disciplines, clear articulation of insights, and demonstrated ownership from idea to delivery
• Thoughtful use of AI in work to improve efficiency, quality, and learning, while applying responsible, inclusive, and human-centered practices in AI development and deployment

Skills

• Python development
• Cloud infrastructure on GCP
• Scalable backend systems
• AI-powered product experiences
• ML workflows
• Experimentation, instrumentation, monitoring, and feedback loops
• Collaboration across disciplines
• Thoughtful use of AI

Benefits

• Medical/dental/vision insurance
• 30-day eligibility for insurance
• Unlimited PTO + 1 company-wide week off + Focus Fridays every week
• Life and long-term disability insurance
• 401k with 4% company match if you contribute 6%
• Monthly wellness benefit and access to Noom, Unmind, and Your Money Line
• Maternity and Fertility benefit + 26 weeks paid parental leave
• Premium App Access
• Inclusion at Bumble Inc.
• Equal opportunity employer

Pay

Final Compensation Will be determined based on factors such as the selected candidate’s qualifications, relevant experience, skill set, and other job-related considerations.

Schedule

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.