Staff Gen AI Developer

Varicent

$104K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of software engineering experience, including 3+ years in production systems
  • 5+ years of writing production-quality code
  • Strong understanding of system design, distributed systems, and scalable architecture
  • Proficiency in Python and/or TypeScript, with experience building APIs and services
  • Familiarity with cloud platforms such as AWS, GCP, or Azure
  • Experience with CI/CD, automated testing, and observability tools
  • Passionate about learning and applying GenAI technologies

Responsibilities

  • Own delivery of significant features or systems from design to production
  • Build and maintain reliable services, APIs, and workflows for GenAI
  • Define and automate quality metrics, including test strategies
  • Run structured experiments and translate results into product improvements
  • Improve operational readiness through automation and monitoring
  • Mentor and guide engineers through design feedback and code reviews

Benefits

  • Innovative and impactful work in cutting-edge technology
  • Collaborative and diverse team environment
  • Opportunities for professional growth and development
  • Engagement with modern AI technologies in real-world applications
  • Supportive workplace culture that promotes personal and career development
Full Job Description
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 $104,000 - $130,000 (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

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