AI Software Engineer

Role overview

An AI Software Engineer role on a remote SaaS development team building AI-powered automation for finance teams that operate inside cloud ERP systems. The engineer will design, prototype, and ship production AI/ML systems that streamline financial workflows across areas such as quote-to-cash, procure-to-pay, treasury, payroll, and record-to-report. It is a hands-on engineering position that blends deep technical work with regular collaboration across product, data, and engineering.

Responsibilities

- Design, prototype, and implement AI systems that solve concrete business problems for end users - Build and deploy end-to-end AI/ML pipelines that power product features in production - Partner with product managers, data scientists, and engineers to deliver integrated AI-driven solutions - Write clean, maintainable, well-documented code in Python, JavaScript, or statically typed languages - Embed AI/ML models into backend services and frontend applications - Monitor and optimize deployed models for performance, scalability, and reliability - Evaluate frameworks and tooling, and contribute to infrastructure and cloud-service decisions for AI workloads

Requirements

- 2+ years of software engineering experience with a focus on AI/ML applications - Bachelor's degree in Computer Science, AI, Data Science, or a related field (Master's preferred) - Hands-on experience with LLMs, agents, and frameworks such as LangGraph, AutoGen, or DSPy - Proficiency in Python plus familiarity with JavaScript or another statically typed language - Strong understanding of both relational (SQL) and non-relational databases - Experience deploying AI systems to production and familiarity with AWS or Azure

Nice to have

- Containerization experience such as Docker or Kubernetes - Comfort mentoring junior engineers and leading code reviews - Background analyzing large datasets to extract actionable insights

Benefits and work setup

- Fully remote, globally distributed team with high autonomy and minimal micro-management - Flexible, high-trust culture that emphasizes independent decision-making and continuous learning - Employer explicitly committed to building a diverse, equitable, and inclusive workplace - Engagement offered as at-will employment in the United States and as a fixed-term or permanent contract in other jurisdictions, subject to local written terms