About the role
Senior Software Engineer, Elixir Location: Remote About Vic.ai At Vic.ai , we're building the autonomous finance platform for the modern enterprise. Using advanced AI and machine learning, we automate accounts payable workflows, eliminate manual invoice processing, and help finance teams operate with greater speed, accuracy, and insight. Today, Vic.ai processes hundreds of millions of invoices annually for organizations around the world and continues to redefine how finance teams work. We're a venture-backed, high-growth SaaS company with offices in Miami, Raleigh, and Oslo. Our team combines deep expertise in engineering, finance, AI, and product development to solve some of the most complex operational challenges in finance. As AI transforms how software is built and how businesses operate, we're looking for engineers who are excited to leverage these technologies to create scalable systems and deliver exceptional customer outcomes. The Opportunity We are looking for a Senior Software Engineer with deep Elixir experience to help build and scale the core services that power the Vic.ai platform. You'll work on distributed systems, APIs, background processing, integrations, and platform services that operate at significant scale and reliability
requirements. You'll collaborate closely with product managers, data scientists, AI engineers, and fellow software engineers to design and deliver solutions that directly impact our customers and business. This is a hands-on engineering role for someone who enjoys solving challenging technical problems, improving system performance, and helping shape engineering practices in a fast-moving environment.
What You'll Do Design, build, and maintain scalable backend services using Elixir and Phoenix. Develop highly available APIs and distributed systems that power critical platform functionality. Build and optimize data pipelines, workflows, and background job processing systems. Collaborate with AI, Data Science, and Product teams to bring intelligent automation capabilities into production. Improve system observability, monitoring, reliability, and operational excellence. Participate in architectural discussions and influence technical direction across the platform. Help establish engineering best practices around testing, deployment, performance, and maintainability. Mentor engineers and contribute to a collaborative, high-performing engineering culture. Leverage AI-assisted development tools to improve productivity, quality, and delivery velocity.
