Gen AI Developer Remote, Mexico
Design and develop cutting-edge Gen AI solutions for Sales Performance Management (SPM) using Python, Machine Learning, and AWS technologies.
At Varicent , we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the 2025 Forrester Wave Report for SPM , 2023 Ventana Research Revenue Performance Management (RPM) Value Index , Gartner Peer Insights , 2024 Gartner SPM Market Guide , and G2. Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here’s why you’ll thrive at Varicent :
Join us at Varicent —where your talent and ambition meet limitless opportunities for success!
At Varicent , we’re driven by the belief that great people power great companies. As our Senior Software Developer, GenAI , you’ll contribute to building and scaling production-grade AI systems that directly impact how our customers use and experience our products.
You’ll contribute to the delivery of GenAI-powered features, collaborate closely with technical leads, and play a key role in maintaining technical quality, reliability, and scalability across a core product area. This role is ideal for a strong individual contributor who enjoys hands-on development, learning new technologies, and turning ideas into high-quality production systems.
Overview • Build and improve AI-enabled product features from prototype to production. You’ll work within an end-to-end engineering team that owns build quality, release readiness, and ongoing improvements.
What You’ll Do: • Build and maintain product features and supporting backend components, including services, integrations, and internal workflows. • Write production-ready code and lightweight prototypes to validate ideas quickly. • Create automated tests and proactively fix issues to keep releases stable, as engineers own quality without a dedicated QA function. • Support proof-of-concepts and experiments by setting up test cases, reviewing results, and improving areas where quality is weak. • Document systems and workflows so others can run, maintain, and extend what you build.
GenAI Competencies You’ll Practice: • Translate business problems into clear AI tasks and implement end-to-end solutions with guidance from technical leads. • Prepare and maintain data and test cases used to measure output quality. • Apply common AI application patterns such as prompting, using internal knowledge sources, and c
Posted June 7, 2026