Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Bumble Inc.

Staff Software Engineer

Bumble Inc.

Staff Software Engineer developing AI systems for Bumble's AI-powered dating platform. Leading design and evolution of backend systems for enhanced user experiences.

Posted 5/5/2026full-timeAustin • Texas • 🇺🇸 United StatesLead💰 $255,000 - $285,000 per yearWebsite

Tech Stack

Tools & technologies
CloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Medical/dental/vision, 30-day eligibility
  • 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 week paid parental leave
  • Premium App Access

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonPydanticAIAI/ML-powered productsLLMsprompt engineeringcontext managementevaluation of AI systemsservice-oriented architecturedistributed architecturecloud platforms
Soft Skills
collaborationownershipproblem-solvinginfluenceagile mindsetcommitment to responsible AIcommunicationinnovationadaptabilityleadership