GenAI Senior Engineer

Job Category: AI & Machine Learning

About Zenity

Zenity is the first holistic platform designed to secure and govern AI Agents from buildtime to runtime. We assist organizations in defending against security threats, meeting compliance standards, and boosting business productivity. Zenity is trusted by numerous F500 companies worldwide, offering centralized visibility, vulnerability assessments, and governance through continuous scanning of business-led development environments. We recently secured $38 million in Series B funding, reinforcing our leadership in the industry and enabling us to accelerate our mission of securing AI Agents everywhere.

About the Role

As a GenAI Senior Engineer, you will take ownership of GenAI solutions and features, delivering value to our customers. You will design scalable Big Data pipelines using cutting-edge technologies, think creatively to solve complex problems, and foster technological innovation. Collaboration is key, and you will work with others through open discussions, Design Reviews, and Code Reviews.

Responsibilities (What You’ll Do)

• Assume ownership of GenAI solutions and features to deliver customer value.
• Design scalable Big Data pipelines using modern technologies.
• Develop creative solutions for complex problems and drive technological innovation.
• Collaborate with team members through open discussions, Design Reviews, and Code Reviews.

Requirements (What We’re Looking For)

• Education: B.Sc. in Computer Science, Electrical Engineering, or Mathematics.
• Experience: 5+ years of expertise with modern backend programming languages such as Python/Java/Scala/Kotlin/Go.
• GenAI Tools: Experience with GenAI tools like LLM Orchestrations, integration packages, Agents, and RAG systems.
• Agile/CI/CD: Experience writing code in Agile, CI/CD-based production environments.
• Big Data Technologies: Experience working with Big Data technologies such as Kafka/Spark/OpenSearch, Parquet/Avro/Delta Lake/Iceberg.
• Skills: Strong communication and collaboration skills.

Nice-to-Have

• Data-engineering experience
• Architecture experience
• Data-science roles experience
• Security domain knowledge