[Remote] Backend Engineer (US)

Note: The job is a remote job and is open to candidates in USA. Genios AI is on a mission to build an AI-native platform for finance, transforming how investment teams operate. The Backend Engineer will architect and develop scalable backend systems, build APIs, and collaborate with cross-functional teams to integrate financial logic and user workflows.ResponsibilitiesArchitect and develop scalable backend systems using Python and modern cloud-native toolsBuild APIs, orchestration layers, and data pipelines that support autonomous agents and real-time financial analyticsTranslate complex financial logic into clear, maintainable, and performant codeCollaborate with cross-functional teams—including ML, data, and product—to integrate LLMs, financial logic, and user workflowsOwn the performance, reliability, and maintainability of mission-critical systemsDrive best practices in architectural decisions, testing, devops practices, IaC and system observabilitySkillsHave 3–7 years of backend engineering experienceHave built and scaled production-grade backend systems for data-intensive or real-time applicationsAre excited about building intelligent systems with autonomous behavior, not just CRUD appsHave strong proficiency in Python and experience building distributed backend systemsThink 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-readyEnjoy working on complex logic and domain modeling in high-stakes environments like fintech, trading, or enterprise SaaSExperience 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 pipelinesCompany OverviewFinancial Superintelligence to automate your most complex finance workflows. It was founded in undefined, and is headquartered in Santa Clara, CA, US, with a workforce of 11-50 employees. Its website is https://geniosai.co.