Staff Gen AI Developer
About The Position
At Varicent, we’re redefining how organizations achieve revenue success with cutting-edge SaaS solutions for Sales Performance Management (SPM). As a Staff Software Developer, GenAI, you will play a critical role in building and scaling production-grade AI systems that directly impact customer experience. You will contribute to the design and delivery of GenAI-powered features, collaborate 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 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
