Bumble
Tech / AI / Software
LeadSoftwareEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Software Engineer at Bumble. Skills: Lead the design, build, and extension of production AI agent systems, Architect and evolve Python-based services and agent workflows, Define and improve how we build agents end to end, Establish robust evaluation approaches for agent quality, Build repeatable patterns for monitoring, debugging, and managing agents in production, Apply technical judgment to responsible AI development, Act as a technical leader by setting a high bar for code quality, syste”
What You'll Achieve.
Creating more curated ways for members to meet within a distinct AI-driven product experience; Ensuring human oversight where it matters most; Setting a high bar for code quality, system design, and delivery; Seeing ideas through to real-world impact
Industry & Context.
Define technical approaches for ambiguous, high-impact problems; Using independent judgment
Must be able to come onsite regularly to collaborate across engineering teams, Hybrid environment that requires you to be in the office Monday - Wednesday, Unable to offer Visa sponsorship at this time
What They're Looking For.
Must Have
Deep software engineering experience in production systems, Python expertise, Track record of building scalable backend services, Hands-on experience building or guiding AI and ML-powered product experiences, Experience with AI agents, Experience with prompt design, Experience with context orchestration, Experience with evaluation strategies, Comfortable designing schema-validated LLM interactions, Managing prompts and response structures, Creating deterministic fallbacks and safeguards for production use, Experience with cloud infrastructure on GCP, Know how to design systems with observability, resilience, and operational clarity, Skilled at defining technical approaches for ambiguous, high-impact problems, Using independent judgment while influencing across teams and creating alignment, Know how to build evaluation and feedback loops for AI systems, Instrumentation, Experimentation, Monitoring, Iterative improvement of agent behaviour over time, Collaborate effectively across disciplines, Take ownership of outcomes, Adapt quickly as priorities evolve, Demonstrating an agile mindset, Working with purpose, Use AI thoughtfully in your own work to improve speed, quality, and learning, Ensuring responsible, inclusive, and human-centred application
Nice to Have
Experience with PydanticAI, Experience with GCP
What You'll Do.
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 focus on reliability
Define and improve how we build agents end to end
including prompt management
and versioning practices
Establish robust evaluation approaches for agent quality
including offline and online evaluations
experimentation frameworks
and clear success criteria for agent behaviour
Build repeatable patterns for monitoring
and managing agents in production
including observability
and continuous improvement loops
Partner closely with Product
and Data within the Bee AI team to turn ambiguous opportunities into shipped features
Collaborating effectively with adjacent teams where integration is required
Apply technical judgment to responsible AI development by assessing outputs for quality
ensuring human oversight where it matters most
Act as a technical leader by setting a high bar for code quality
Collaborating with purpose
and demonstrating an agile mindset in line with our values of Courage
How You'll Work.
Team & Collaboration
Collaborate with purpose; Collaborating effectively with adjacent teams where integration is required; Partner closely with Product, Design, and Data within the Bee AI team; Influencing across teams and creating alignment; Collaborate effectively across disciplines
Process & Methodology
Taking ownership, Seeing ideas through to real-world impact, Agile mindset
Full Job Description
## Description 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 product that sits alongside 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 Bumble experience. As a Lead Software Engineer, you’ll play a pivotal role in shaping this next generation of connection. Bee is already live and evolving quickly. If you’d like a glimpse into the experience we’re building, you can explore a recent preview here:https://www.instagram.com/p/DVwmOw_jKUf/. We’re now scaling both the ambition and the systems behind it - building intelligent agents that guide interactions, enhance matchmaking, and continuously learn from member behaviour. You’ll help define how AI shows up responsibly and meaningfully in people’s experiences, role modelling our values of Curiosity and Courage as you explore new frontiers. This is a highly impactful individual contributor role with broad influence across engineering, product, and data. You’ll operate as a technical leader within the Bee AI team, setting direction for how we build, evaluate, and scale AI agents - while collaborating with purpose, taking ownership, and seeing ideas through to real-world impact. ## What You'll Do 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 Establish robust evaluation approaches for agent quality, including offline and online evaluations, exp
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