Lead Software Engineer - Bee AI
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 involves leading the design, build, and extension of production AI agent systems, architecting and evolving Python-based services and agent workflows using PydanticAI and GCP. You will also establish robust evaluation approaches for agent quality, including offline and online evaluations, experimentation frameworks, telemetry, and clear success criteria for agent behavior.
Responsibilities
- Lead the design, build, and extension of production AI agent systems for Bee, creating more curated ways for members to meet within a distinct AI-driven product experience
- Architect and evolve Python-based services and agent workflows using PydanticAI and GCP, with a strong focus on reliability, extensibility, and maintainability
- Define and improve how we build agents end to end, including prompt management, context handling, response schemas, fallback logic, and versioning practices
- Build repeatable patterns for monitoring, debugging, and managing agents in production, including observability, performance analysis, and continuous improvement loops
- Partner closely with Product, Design, and Data within the Bee AI team to turn ambiguous opportunities into shipped features, while collaborating effectively with adjacent teams where integration is required
- Apply strong technical judgment to responsible AI development by assessing outputs for quality, bias, safety, and transparency, ensuring human oversight where it matters most
- Act as a technical leader by setting a high bar for code quality, system design, and delivery, collaborating with purpose, taking ownership, and demonstrating an agile mindset in line with our values of Courage, Respect, and Excellence
Requirements
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 behavior 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.
Qualifications
- Typically requires 8-10 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
Skills
- Strong Python expertise
- Experience with cloud infrastructure on GCP
- Experience with PydanticAI and GCP
- Experience with AI and ML-powered product experiences
- Experience with prompt design, context orchestration, and evaluation strategies
- Experience with AI agent workflow management
- Experience with AI agent quality evaluation
- Experience with AI agent monitoring and debugging
- Experience with AI agent versioning practices
- Experience with AI agent observability, resilience, and operational clarity
- Experience with AI agent evaluation and feedback loops
- Experience with AI agent technical approaches for ambiguous, high-impact problems
- Experience with AI agent collaboration and alignment
- Experience with AI agent agile mindset and purposeful collaboration
Benefits
- Medical/dental/vision insurance
- 30-day eligibility for insurance
- Unlimited PTO + 1 company-wide week off + Focus Fridays every week
- Fully paid life and long-term disability insurance
- 401k with 4% company match if you contribute 6%, 90-day eligibility
- 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.
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.