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.
The expected base salary range for this role is $ 104,300 - $ 130,000* CAD and individuals may be eligible to participate in our variable compensation program.
*Final compensation may vary based on experience, skills, designations, and market conditions.
This posting is for existing 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.