Staff Gen AI Developer at Varicent

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

15 Oct, 26

Salary

190800.0

Posted On

17 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Python, TypeScript, System Design, Distributed Systems, Cloud Platforms, CI/CD, API Development, RAG, Prompt Engineering, LLMOps, Vector Databases, Scalable Architecture, Data Pipelines, Observability, Evaluation Frameworks

Industry

Software Development

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! 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. • The team owns systems end-to-end, including build, release, and operational reliability. What You Bring: • 6+ years of overall software engineering experience, with at least 3+ years building and shipping production systems in product teams. • 5+ years of hands-on technical experience writing production-quality code. • Strong software engineering fundamentals, including system design, distributed systems, and scalable architecture. • Proficiency in Python and/or TypeScript (or similar), building APIs, services, and data pipelines. • Experience with cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, automated testing, and observability. • Experimentation mindset — able to define metrics, build evaluation frameworks, and iterate quickly in ambiguous problem spaces. • Passion for learning and applying GenAI technologies in practical, production environments. Nice to Have: • Hands-on GenAI/LLM experience: prompt engineering, retrieval/RAG, embeddings, tool or function calling, fine-tuning, or evaluation pipelines. • Familiarity with LLMOps practices: experiment tracking, version control for prompts/models, and cost or latency optimization. • Experience with tools such as LangChain/LangGraph, OpenAI, Anthropic, Azure OpenAI, and vector databases like Pinecone, FAISS, or Milvus. • Contributions to open source, technical blogs, or conference talks. Education: • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. For this role, the estimated annual base salary range is between $145,440.00 - $190,800.00 (CAD). In addition to base salary, our compensation package may include bonuses, commissions for eligible sales roles, and a comprehensive benefits package. The actual base salary will vary based on factors including individual qualifications and market data, as objectively assessed during the interview process. This posting is for a new vacancy. This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement — not replace — human decision-making. Overview of Benefits: Health & Wellness— Comprehensive medical, dental, and vision coverage tailored to your local needs Time Off— PTO and public holidays to rest, recharge, and do what matters most Volunteer Days— Dedicated time to give back and support the communities that matter to you Ignite Days— Dedicated learning days to support continuous growth, skill development, and professional learning Financial— Compensation that reflects your market and your value Retirement— Retirement plans designed to help you build long-term financial security Tuition Assistance— Invest in your growth with support for continuing education and professional development Flexibility— Work where you thrive, with remote and hybrid options available across most regions Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact

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Responsibilities

Own the end-to-end delivery of production-grade GenAI components and scalable AI-enabled services. Lead technical design decisions, establish engineering standards, and mentor other engineers to improve product quality and reliability.