Were looking for an AI Builder to serve as the technical backbone of Nomas internal AI function. Youll 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. Youll 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 Youll 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 Nomas 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, mod
דרישות:
What You Bring:
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.
Who You Are:
Genuinely excited about AI and actively following developments in the space.
Adaptable by default-you learn quickly, pivot when needed, and dont 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 Haves:
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 המשרה מיועדת לנשים ולגברים כאחד.