Staff Gen AI Developer

About Varicent

Varicent transforms the Sales Performance Management (SPM) market through cutting-edge SaaS solutions that empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. The company is recognized 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. Solutions are trusted by global industry leaders including T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker, and hundreds more.

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.

About the Role

As Staff Software Developer, GenAI, you'll play a critical role in building and scaling production-grade AI systems that directly impact how customers use and experience Varicent's 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.

Key Responsibilities

• Own AI-enabled components end-to-end and deliver measurable improvements in quality and reliability. Operate independently, drive design decisions within your area, and help establish strong engineering standards through reviews, mentorship, and technical leadership.
• 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

• 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.

Required Experience

• 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.

Compensation and Benefits

Estimated Annual Base Salary: $145,440.00 - $190,800.00 CAD

The actual base salary will vary based on factors including individual qualifications and market data, as objectively assessed during the interview process. Compensation package may include bonuses, commissions for eligible sales roles, and a comprehensive benefits package.

Benefits Overview

• 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.

Additional Information

This posting is for a new vacancy.

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. AI tools are designed to complement — not replace — human decision-making.

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

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