Senior AI Engineer

About Us

Zenity is the first and only holistic platform built to secure and govern AI Agents from build time to runtime. We help organizations defend against emerging security threats, meet compliance requirements, and drive business productivity.

Trusted by many Fortune 500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. Following our recent $38M Series B funding, we are accelerating our mission to secure AI Agents everywhere.

Responsibilities:

Identify high-impact opportunities to leverage AI and AI agents to automate and optimize internal workflows.
Design, architect, and implement end-to-end AI-driven solutions — from problem definition to production deployment and adoption.
Integrate AI systems with internal platforms, services, APIs, and third-party tools.
Collaborate with technical and non-technical stakeholders to translate business needs into practical, scalable solutions.
Take full ownership of solutions, including iteration, performance optimization, monitoring, and long-term maintenance.
Evaluate and adopt new AI tools, frameworks, and methodologies with a pragmatic, business-oriented approach.

Requirements:

3–5+ years of experience in software engineering or backend development roles.
Strong hands-on experience with one of the leading backend programming languages (such as Python, Go, Java, or Node.js), and comfortable working with Bash, CLI tools, and scripting.
Solid software engineering fundamentals and experience building and maintaining production-grade systems.
Experience designing and implementing system integrations, working with APIs, or building automation-heavy workflows.
Hands-on experience with AI services, LLMs, AI agents, or AI-driven workflows (in production or meaningful projects).
Understanding of security, data governance, and responsible AI considerations when building AI-based systems.
Strong analytical and problem-solving skills, with the ability to break down ambiguous problems into clear execution plans.
Self-driven, proactive, and comfortable operating independently in a fast-paced startup environment.
Demonstrated curiosity and continuous self-learning mindset in the AI domain.
Strong critical thinking and decision-making abilities.