We are on a mission to build the AI-native platform for finance—a multi-agent
system that reimagines how investment teams make decisions and empowers them
to move faster, think deeper, and operate smarter. Our backend engineers are
at the heart of this transformation, building the robust infrastructure and
services that power intelligent workflows, turning fragmented financial data
into actionable insights with the help of autonomous agents.
**What You’ll Do**
Architect and develop scalable backend systems using Python and modern cloud-
native tools.
Build APIs, orchestration layers, and data pipelines that support autonomous
agents and real-time financial analytics.
Translate complex financial logic into clear, maintainable, and performant
code.
Collaborate with cross-functional teams—including ML, data, and product— to
integrate LLMs, financial logic, and user workflows.
Own the performance, reliability, and maintainability of mission-critical
systems.
Drive best practices in architectural decisions, testing, devops practices,
IaC and system observability.
**You Might Be a Fit If You...**
Have 3–7 years of backend engineering experience
Have built and scaled production-grade backend systems for data-intensive or
real-time applications.
Are excited about building intelligent systems with autonomous behavior, not
just CRUD apps.
Have strong proficiency in **Python** and experience building distributed
backend systems.
Think in abstractions and API contracts before diving into implementation, and
have experience designing and consuming clean, well-structured interfaces
(REST, GraphQL, or RPC).
Have experience with containerization (Docker), orchestration (Kubernetes),
and event-driven systems (e.g., Kafka).
Have deep understanding of relational databases (e.g., PostgreSQL) and caching
systems (e.g., Redis).
Have a strong grasp of performance tuning, code quality, automated testing,
CI/CD practices, and building systems that are secure, observable, and
production-ready.
Enjoy working on complex logic and domain modeling in high-stakes environments
like fintech, trading, or enterprise SaaS.
Bonus Points
Experience with AI frameworks, LLMs, or multi-agent orchestration platforms
(e.g., LangGraph, CrewAI, AutoGen, Haystack, etc.).
Exposure to financial data modeling, investment workflows, or alternative data
pipelines.
Note: This remote position requires monthly travel to the Bay area or Seattle
for in person team meetings.
Why Join Us?
We're a fast-moving startup backed by Tier 1 VC building in a space ripe for
reinvention. If you're excited about redefining how thousands of financial
professionals work—using agents, not spreadsheets—you’ll fit right in.
Apply here <https://ats.rippling.com/en-GB/genios-
ai/jobs/fac290f1-c493-48e1-b9eb-75a1379fc10e>