Join Noma Security and help shape the future of AI security in a fast-paced, high-impact environment.
Noma is building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle. Our team works at the intersection of AI, security, and cloud, shaping a new category in a rapidly evolving market. At Noma, you’ll have the opportunity to make a meaningful impact while working with exceptional people on technology that truly matters.
We’re looking for an AI Engineer to serve as the technical backbone of Noma’s internal AI function. You’ll build the LLM-powered agents, automation pipelines, integrations, and infrastructure that teams across the company rely on every day.
This is a rare opportunity to build a new function from the ground up within a company where the work can have an immediate and meaningful impact. You’ll create systems such as tools that help Sales track competitive deals in real time, pipelines that automatically turn customer calls into Salesforce updates, and agents that identify competitor activity and deliver actionable insights directly to Slack.
This is a highly hands-on role with true end-to-end ownership-from translating business needs into focused technical solutions to deploying, monitoring, and continuously improving production systems.
What you'll do
Build AI-Powered Agents and Automations
Design and build LLM-powered agents, automation pipelines, and backend services used across the organization.
Develop complex integrations that bring together data from multiple internal and external systems.
Build custom MCP servers and other infrastructure required to support scalable internal AI workflows.
Turn fuzzy business needs into practical, focused, and maintainable technical solutions.
Own the Internal AI Infrastructure
Harden and maintain Noma’s existing MCP Gateway ecosystem.
Improve reliability, error handling, authentication, secrets management, and versioning.
Implement secure, vault-based credential management and strong security practices across production automations.
Build infrastructure that enables agents and workflows to operate reliably at scale.
Drive Production Readiness and Reliability
Own the deployment, monitoring, maintenance, and reliability of agents and automations in production.
Build evaluation frameworks, test sets, and monitoring processes to measure accuracy, precision, recall, hallucination rates, and overall agent performance.
Identify regressions and continuously improve the quality and stability of production workflows.
Troubleshoot failures across integrations, models, APIs, and automation pipelines.
Drive Adoption and Business Impact
Partner closely with the AI Product Manager and teams across the organization to understand their workflows and challenges.
Ensure the solutions we build are adopted and deliver measurable value—not just technically functional.
Gather feedback from end users, iterate quickly, and continuously improve the ROI of internal AI systems.
Help teams across Noma incorporate AI effectively into the way they work.
Requirements
3–5 years of software engineering or hands-on development experience.
Strong Python skills and experience writing clean, maintainable, production-grade code.
Hands-on experience working with LLM APIs such as Anthropic Claude, OpenAI, or similar.
Experience building integrations using REST APIs, webhooks, and asynchronous pipelines.
Experience with automation platforms such as n8n, Make, Zapier, or similar.
Hands-on experience with MCP and building or integrating MCP servers.
Experience evaluating LLM or agent performance in production, including building evaluation harnesses or test sets to identify regressions.
Understanding of secrets management, credential handling, and security best practices for production automations.
Ability to work independently and own projects end-to-end.
Strong problem-solving skills and the ability to turn ambiguous requirements into practical technical solutions.
Genuinely excited about AI and actively following developments in the space.
Adaptable by default-you learn quickly, pivot when needed, and don’t become overly attached to a specific tool or approach.
You ship quickly, gather feedback, and iterate.
You care about the end user and business impact, not only the technology.
Comfortable working in a fast-moving startup environment without an established playbook.
Highly accountable, hands-on, and motivated by building something from the ground up.
Nice to have
Background in cybersecurity or enterprise B2B SaaS.
Experience with agent frameworks such as LangChain, LangGraph, CrewAI, or equivalent.
Experience building internal developer platforms or company-wide automation infrastructure.
Familiarity with Salesforce, Slack, and other common enterprise systems.
Experience driving internal adoption of AI tools and measuring their business impact.
💙 Perks & Benefits:
Located in a prime area with easy access to public transportation, near the Hashalom train station and the Light Rail.
A bright, spacious, dog-friendly office that makes you smile the moment you walk in 🐶
Team bonding activities, company retreats, happy hours, and holiday gifts.
Pilates classes at the office 💪🧘♀️
Never hungry: Monthly lunch budget, dinners provided, and a fully stocked kitchen 🍽️
A warm, supportive, and people-first company culture.
Pension and Keren Hishtalmut (advanced training fund).
A global work environment with teams across Tel Aviv, the US, the Netherlands, and London.
Options that let you share in Noma’s growth and success.