Lead AI Engineer — Scalable AI Agents & Responsible AI

Bumble

Austin (TX)

Hybrid

USD 180,000 - 240,000

Full time

10 days ago
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Job summary

Bumble is building the Bee AI team to create intelligent, AI-powered experiences that guide interactions while preserving human-centric matchmaking. You’ll lead and scale production AI agents, shape prompt and schema design, and drive responsible AI with strong collaboration across engineering, product, and data teams.

You’ll own end-to-end agent development, ensure robust evaluation, and build observable, resilient systems on GCP, with a strong emphasis on code quality and practical impact in a

Qualifications

  • 8–10 years of production software engineering experience.
  • Strong Python backend expertise.
  • Hands-on AI/ML product experience, especially with AI agents.
  • Experience with schema-validated LLM interactions and prompts.
  • Cloud infrastructure on GCP with observability and resilience.
  • Collaborative, independent judgment and agile mindset.

Responsibilities

  • Lead design, build, and extension of production AI agent systems.
  • Architect Python services and agent workflows on GCP.
  • Define end-to-end agent development, prompts, and fallbacks.
  • Establish evaluation approaches for agent quality.
  • Build monitoring, debugging, and observability patterns.
  • Collaborate with Product, Design, and Data to ship features.
  • Ensure responsible AI with safeguards and human oversight.
  • Set high bar for code quality and system design.

Skills

Python
AI/ML
GCP
Backend systems

Tools

PydanticAI
GCP

Job description

Bumble is building the Bee AI team to create intelligent, AI-powered experiences that guide interactions while preserving human-centric matchmaking. You’ll lead and scale production AI agents, shape prompt and schema design, and drive responsible AI with strong collaboration across engineering, product, and data teams.

You’ll own end-to-end agent development, ensure robust evaluation, and build observable, resilient systems on GCP, with a strong emphasis on code quality and practical impact in a

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