Staff Gen AI Developer
About The Position
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.
Requirements
- 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.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Nice To Haves
- 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.
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.
Benefits
- Comprehensive medical, dental, and vision coverage tailored to your local needs
- PTO and public holidays to rest, recharge, and do what matters most
- Dedicated time to give back and support the communities that matter to you
- Dedicated learning days to support continuous growth, skill development, and professional learning
- Compensation that reflects your market and your value
- Retirement plans designed to help you build long-term financial security
- Support for continuing education and professional development
- Remote and hybrid options available across most regions
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
