About Us

Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We help organizations defend against security threats, meet compliance, and drive business productivity. Trusted by many of the world’s F500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. We recently raised $38 million in a Series B funding, solidifying our position as a leader in the industry and enabling us to accelerate our mission of securing AI Agents everywhere.

About the role:

• Be an integral part of Zenity’s engineering teams, working at the intersection of software development and GenAI innovation
• Design, build, and optimize LLM-based features and applications that power Zenity’s platform
• Research, integrate, and fine-tune LLMs (OpenAI, Anthropic, open-source) to deliver secure AI automation
• Develop prompts, datasets, and benchmarks to enhance reliability and performance
• Collaborate with AI, security, and engineering teams to deliver real-world, secure GenAI solutions
  
  

Requirements:

• 5+ years of experience developing production-grade software systems in modern, cloud-based environments
• 1+ year of hands-on experience working on LLM or GenAI projects (e.g., model integration, fine-tuning, prompt engineering, or evaluation)
• Expertise with modern programming languages such as Python/C#/Java/Scala/Kotlin/TypeScript/JavaScript
• Experience with LangChain, CrewAI , or similar frameworks
• Experience working on large-scale services based on AWS/Azure/GCP
• (from the SSE role)
• Advantage: Experience designing and maintaining Big Data pipelines and working with data processing frameworks (e.g., Kafka, Spark, OpenSearch, or similar)