A category-defining fintech platform - now valued at ~$10B+ - is building the infrastructure layer for how millions of people interact with housing, payments, and everyday spend.
What started as a rewards product has evolved into a network spanning 4.5M+ homes, enabling users to turn one of their largest expenses into a powerful financial asset.
Now, they're investing deeply in AI. This role sits at the center of that shift.
You'll be responsible for building the
core AI platform, agent systems, and infrastructure
that power how AI is used across the entire company - from engineering workflows to product features to internal operations.
This is not a "plug GPT into a feature" role.
This is:
Designing and scaling the systems that make AI actually work in production.
What You'll Do
Architect and build a
centralized AI platform
used across engineering and product teams
Design and deploy
agentic systems, sub-agents, and reusable "skills"
for real-world workflows
Build
secure, sandboxed execution environments
for autonomous code + task execution
Integrate AI deeply into the SDLC - CI/CD, testing, debugging, and developer workflows
Create internal tools (Slack agents, query systems, analytics copilots) that eliminate manual work
Evaluate and integrate cutting-edge AI tooling into production systems
Define
guardrails, permissions, and safety layers
for enterprise-grade AI usage
Partner closely with engineering leadership to turn AI strategy into shipped system
What They're Looking For
Strong backend / infrastructure background - you've built and operated
complex distributed systems
Deep hands-on experience with
LLMs, agents, or modern AI tooling
Experience building
production systems
(not just prototypes)
Comfort designing systems around:
security & permissions
sandboxing & isolation
reliability & failure handling
Track record of
automating workflows at scale
Bias toward
shipping real systems over experiments
Bonus Points
Experience with agent frameworks, RAG pipelines, or eval systems
Built internal platforms or developer tooling
Worked on AI systems that interface with real business workflows
Strong product intuition - you care about impact, not just infrastructure
Why This Role
Massive real-world impact
- your systems will power AI across a product used by millions
Platform-level ownership
- you're building the foundation, not features on top
High-leverage problems
- automation, agents, reliability, and scale
Strong backing & growth
- multi-billion valuation, top-tier investors, rapid expansion
Real adoption
- not experimental AI, but systems embedded into daily workflows
This is a role for engineers who want to:
Move beyond demos
production AI systems
Build beyond features
platforms & infrastructure
Work on AI that's actually used
at scale, every day
If you're excited about building agentic systems and real-world LLM infrastructure at scale, we'd love to hear from you.