Senior Backend Engineer - Typescript (.Nodejs) / AWS

About the role

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 employee

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