About Vic.ai
Vic.ai is building the future of autonomous accounting using AI. We help finance teams eliminate manual invoice processing and unlock real-time financial intelligence by combining advanced machine learning, OCR, and scalable backend systems. Our platform processes hundreds of millions of invoices with exceptional accuracy, and we’re just getting started.
The Role
We're seeking a Senior Backend Engineer to join the team behind our AI-first, in-house iPaaS: the integration platform that connects our customers' ERP and financial systems to Vic.ai. It reliably syncs data into Vic and pushes results back out at scale, with AI used to accelerate how quickly we onboard new customers. You'll spend the majority of your time building and operating this platform, and you'll also contribute across our broader backend surface (Public API and core services) as priorities demand.
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 (HTTP 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.
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
What You’ll Bring
- 2+ years building and operating production backend systems, primarily in TypeScript/Node.js, Elixir/Phoenix, or Python.
- 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.
- Strong understanding of performance monitoring, logging, observability, and operational reliability.
- Experience scaling and optimizing relational databases.