Backend Engineer

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  • Company genios-ai
  • Employment Full-time
  • Location 🇺🇸 United States nationwide
  • Submitted Posted 2 weeks ago - Updated 10 hours ago

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.

Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.


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.


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.


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