Job Description
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 Senior Software Developer, GenAI , you’ll contribute to building and scaling production-grade AI systems that directly impact how our customers use and experience our products. You’ll contribute to the delivery of GenAI-powered features, collaborate closely with technical leads, and play a key role in maintaining technical quality, reliability, and scalability across a core product area. This role is ideal for a strong individual contributor who enjoys hands-on development, learning new technologies, and turning ideas into high-quality production systems. Overview • Build and improve AI-enabled product features from prototype to production. You’ll work within an end-to-end engineering team that owns build quality, release readiness, and ongoing improvements. What You’ll Do: • Build and maintain product features and supporting backend components, including services, integrations, and internal workflows. • Write production-ready code and lightweight prototypes to validate ideas quickly. • Create automated tests and proactively fix issues to keep releases stable, as engineers own quality without a dedicated QA function. • Support proof-of-concepts and experiments by setting up test cases, reviewing results, and improving areas where quality is weak. • Document systems and workflows so others can run, maintain, and extend what you build. GenAI Competencies You’ll Practice: • Translate business problems into clear AI tasks and implement end-to-end solutions with guidance from technical leads. • Prepare and maintain data and test cases used to measure output quality. • Apply common AI application patterns such as prompting, using internal knowledge sources, and calling external tools or APIs. • Measure quality using repeatable evaluation methods, including automated checks and structured human review when required. • Contribute to production readiness through versioning, monitoring, basic performance and cost awareness, and usage tracking. • Follow privacy, security, and compliance requirements in collaboration 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, and performance. • The team owns systems end-to-end, including build, release, and operational reliability. What You Bring: 5+ years of backend or full-stack engineering experience with a strong backend focus. 4+ years working with Typescript / Node.js / C#. Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.). Proven experience working with large datasets , distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc. Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture. in ambiguous problem spaces. • Strong interest in learning and applying GenAI technologies in practical, production environments. Nice to Have: • Hands-on experience with GenAI/LLMs, including prompt engineering, retrieval/RAG, embeddings, tool or function calling, fine-tuning, or evaluation pipelines. • Familiarity with LLMOps practices such as experiment tracking, version control for prompts or 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. Note: This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates fro
