
51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
💸 Finance
☁️ SaaS
💰 $52M Series C on 2022-12
Artificial Intelligence • Finance • SaaS
Vic. ai is a company that provides an autonomous finance platform designed specifically for accounting and finance operations. The platform offers advanced AI capabilities for invoice processing, purchase order matching, approval flows, payments, and analytics in the accounts payable sector. By integrating seamlessly with existing ERP systems, Vic. ai helps customers automate and optimize their financial workflows, significantly increasing efficiency and accuracy while reducing time spent on manual tasks. With a focus on AI-driven analytics and real-time insights, Vic. ai empowers businesses to make informed, data-driven decisions, transforming accounts payable departments into profit centers.
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51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
💸 Finance
☁️ SaaS
💰 $52M Series C on 2022-12
Artificial Intelligence • Finance • SaaS
Vic. ai is a company that provides an autonomous finance platform designed specifically for accounting and finance operations. The platform offers advanced AI capabilities for invoice processing, purchase order matching, approval flows, payments, and analytics in the accounts payable sector. By integrating seamlessly with existing ERP systems, Vic. ai helps customers automate and optimize their financial workflows, significantly increasing efficiency and accuracy while reducing time spent on manual tasks. With a focus on AI-driven analytics and real-time insights, Vic. ai empowers businesses to make informed, data-driven decisions, transforming accounts payable departments into profit centers.
• 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. • Identify, troubleshoot, escalate, and resolve issues related to performance, accuracy, and system stability.
• Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related field (preferred). • 5+ 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. • 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. • Proven 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.
• 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.
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