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Build and operate an AI-first integration platform that syncs data between ERP systems and Vic.ai. Develop backend services using TypeScript/Node.js and contribute to core services in Elixir and Python.
Requires 5+ years of experience in production backend systems with proficiency in TypeScript, Elixir, or Python. Must have experience with third-party API integrations, distributed systems, and LLMs.
Location: Remote (Madrid Hybrid)
Department: Engineering
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.
We’re a venture-backed, product-driven company solving deeply technical problems at scale, and we’re looking for engineers who want to build real AI systems that run in production for real customers.
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.
This is a hands-on, senior-level role for an engineer who thrives in complex, high-scale environments and takes pride in building reliable, performant systems.
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.
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
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.
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.
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.
Vic.ai is the leading AI platform for Accounts Payable and Bill Pay, delivering autonomous finance and intelligence.
Vic.ai is pioneering the use of autonomy and intelligence to digitally transform accounting and finance processes to improve productivity, decision-making, and ROI. Vic.ai addresses the most manual and inefficient task in accounting – invoice processing – to improve its speed and scalability, and ultimately enable customers to reinvent their accounts payable operations and improve financial management. Accounting tasks have always been managed using legacy systems that are based on predefined, fragile rules and templates. It’s mundane, inefficient, and error-prone work. Vic.ai throws the need for rules and templates out the window. Accounting tasks work autonomously with the Vic.ai platform to minimize the human input and interpretation that legacy, rules-based systems require. Vic.ai’s accounts payable solution uses advanced AI, which gets smarter the more invoices it ingests, and autonomous workflows to automatically process error-free invoices, allowing the team to focus on more important matters than manual data entry. Vic.ai works with finance professionals to give them the tools they need to make everyday operations simpler and more intelligent. From processing invoices to data predictions, the Vic.ai intelligent and autonomous solution gives companies the bandwidth needed to complete higher value tasks often pushed aside in the day-to-day. By processing more than half a billion invoices with up to 99% accuracy, Vic.ai has helped 10,000+ customers achieve nearly $188 million in cost savings and 6 million hours in time savings. Vic.ai is backed by the best VC’s in the world, including Iconic Growth, GGV Capital, Cowboy Ventures and Costanoa Ventures. Vic.ai is jointly headquartered in New York City and Oslo, Norway. For more information, please visit http://www.vic.ai/.
Offices: 228 Park Avenue S, New York, NY 10003, US
Based on 7450 listings with disclosed salaries, most engineering jobs in New York pay between $80k–$209k per year. Individual offers vary with seniority, company size, and specialization.
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