Job Description

Are you passionate about building cutting-edge AI-powered solutions that make a real difference? We are looking for a Senior Product Engineer with strong Full Stack capabilities to join a small, high-impact team developing innovative AI-driven products.

This is a Senior-level role where you will work closely with leadership, product managers, and AI specialists to shape the future of our platform. At Sigma Software, we value engineers who can experiment, learn quickly, and deliver impactful solutions. You will be part of a collaborative environment with opportunities to work on challenging, meaningful projects that push the boundaries of technology.

CUSTOMER

Our Customer is a fast‑growing AI‑driven SaaS platform serving finance and accounting teams in high‑growth businesses. The platform automates critical workflows — from billing and collections to revenue recognition and reporting, ensuring compliance and accelerating cash flow. Leveraging advanced AI, it reduces manual work, increases operational efficiency, and supports scalability for customers worldwide.

• Own end-to-end feature delivery from understanding product requirements to deploying production-ready features
• Design, build, and maintain user-facing product features across frontend and backend
• Collaborate closely with product managers, designers, and AI specialists to translate business needs into technical solutions
• Integrate AI/ML capabilities, APIs, and external services into product workflows
• Ensure high code quality, maintainability, and adherence to best practices
• Participate in architectural discussions and contribute to technical decision-making
• Troubleshoot, debug, and optimize both frontend and backend systems
• Adapt to changing priorities in a cross-functional environment

Qualifications

• 5+ years in software engineering, with proven Full Stack capability
• Strong proficiency in JavaScript/TypeScript and modern frameworks (React, NestJS)
• Solid understanding of backend architecture, REST APIs, and microservices
• Experience integrating AI/ML models into applications or working closely with AI teams
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Knowledge of CI/CD pipelines and DevOps practices
• Strong collaboration skills and ability to work closely with product teams
• Experience designing scalable, maintainable systems