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:
• 4+ years of overall software engineering experience, with at least 2+ years building and shipping production systems in product teams.
• 4+ years of hands-on technical experience writing production-quality code.
• Strong software engineering fundamentals, including system design 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.
• An experimentation mindset — able to define metrics, build evaluation frameworks, and iterate quickly 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:
🍎 Benefits