At Varicent were driven by the belief that great people power great companies. As our Staff Software Developer GenAI youll play a critical role in building and scaling production-grade AI systems that directly impact how our customers use and experience our products.
Youll 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 Youll 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:
Bachelors degree in Computer Science Engineering or a related field or equivalent practical experience.
The expected base salary range for this role is $ 104300 - $ 130000* 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.
Required Experience:
Staff IC