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Staff Gen AI Developer

Varicent
CompanyVaricent
CategoryEngineering
LocationToronto
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted17 Jul 2026
Last verified2 Aug 2026
SourceEmployer career page (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
  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: Innovate with Purpose: Build impactful solutions for customers worldwide. Join Excellence: Work in a diverse, collaborative, and innovative team. Shape the Future: Lead in redefining revenue optimization. Grow Together: Unlock your potential in a supportive environment. Join us at Varicent—where your talent and ambition meet limitless opportunities for success! *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:f3b4d89c-34ac-4227-81a3-3d1a2fab9bfc-17" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant"> At Varicent, we’re driven by the belief that great people power great companies. As our  Staff Software Developer, GenAI , you’ll play a critical role in building and scaling production-grade AI systems that directly impact how our customers use and experience our products. You’ll contribute to the design and delivery of GenAI-powered features, collaborate closely with technical leads and senior stakeholders, and help set the technical bar for quality, reliability, and scalability across a core product area. This role is ideal for a senior engineer who thrives in complex systems, enjoys solving ambiguous problems, and wants to apply modern AI technologies in real-world, high-impact products. Overview • Own AI-enabled components end-to-end and deliver measurable improvements in quality and reliability. You operate independently, drive design decisions within your area, and help establish strong engineering standards through reviews, mentorship, and technical leadership. What You’ll Do: • Own delivery for significant features or systems — clarify requirements, design solutions, implement, ship, and iterate in production. • Build and maintain reliable services, APIs, and workflows that support GenAI features at scale. • Define and automate quality metrics for your area, including success metrics, test strategies, and evaluation approaches. • Run structured experiments, interpret results, and translate learnings into tangible product improvements. • Improve operational readiness through deployment automation, monitoring and alerting, incident analysis, and performance or cost optimization. • Mentor and guide other engineers through design feedback, code reviews, and hands-on technical leadership. GenAI Expectations: • Solid working knowledge of how modern AI applications are built and evaluated, including core concepts, system trade-offs, and practical limitations. • Strong learning velocity — able to assess new models, tools, and frameworks, and recommend pragmatic solutions based on impact, feasibility, and ROI. • Build systems that are safe and compliant by design, with strong consideration for privacy, data handling, and responsible AI practices, in partnership with Legal and Security teams. How We Work: • We balance exploration with delivery — test ideas quickly, then productionize what works. • “Done” means quality goals are met, followed by continuous improvement in accuracy, cost, performance, and reliability
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