Backend Engineer

our broader backend surface (Public API and core services) as priorities demand. This is a hands-on, middle-level role for an engineer who thrives in complex, high-scale environments and takes pride in building reliable, performant systems. What You'll Do - Build and operate integrations that move data bidirectionally between customers' ERP systems and Vic.ai. - Develop backend services in TypeScript/Node.js ( APIs, queue-based workers, PostgreSQL). - Design integrations against third-party APIs (REST, SOAP, OData, OAuth2) with explicit, typed contracts. - Make jobs idempotent and replay-safe, including retries, rate limiting, dead-lettering, and correlation/audit logging. - Own services from development through production, including deployment on AWS, monitoring, and issue resolution within defined SLAs. - Contribute to the AI-assisted tooling that speeds up customer onboarding. - Support adjacent backend domains as needed (Public API and core services in Elixir/Phoenix, plus

Python services). - Contribute to architectural decisions and long-term platform scalability. - Identify, troubleshoot, elevate, and resolve issues related to performance, accuracy, and system stability. Our Stack - Backend: Elixir/Phoenix and TypeScript/Node.js, plus Python for our AI and ML services - Frontend: React + TypeScript - Data & processing: PostgreSQL with queue-based, distributed processing (RabbitMQ, Oban, BullMQ) - Infrastructure: AWS, containerized deployment (Docker/Kubernetes), with first-class observability and structured logging - Tooling & delivery: GitHub, GitHub Actions CI/CD What You'll Bring - Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field (preferred). - 2+ years building and operating production backend systems, primarily in TypeScript/Node.js, Elixir/Phoenix, Python. Strong backend engineers from other stacks who are eager to work in TypeScript are welcome too. - Experience building on top of LLMs.

• Experience integrating with third-party APIs (REST, SOAP, OData, OAuth2, webhooks). - Solid grasp of queue-based and distributed systems: idempotency, retries, dead-lettering, and backpressure. - Experience taking systems from development to production and operating them using best practices. - Strong understanding of performance monitoring, logging, observability, and operational reliability. - Experience scaling and optimizing relational databases. - Exposure to IT security principles and demonstrated adherence to secure development practices. - Ability to work independently, take ownership, and operate effectively in a fast-moving environment. Why Work at Vic.ai - Build real AI systems that operate at scale in production. - Own critical backend infrastructure that directly impacts customers. - Work alongside experienced engineers, data scientists, and product leaders. - Tackle complex technical challenges with autonomy and accountability. - Be part of a company redefining how finance teams operate, using AI that actually works. If you're excited about building intelligent backend systems, owning production-grade AI pipelines, and pushing the boundaries of applied machine learning in real-world environments, we'd love to meet you. J-18808-Ljbffr