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AI Automation Engineer
Oversee (formerly FairFly). Design and build internal AI agents, automations, integrations, and tools that solve real business problems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI-powered applications and automations, with strong programming skills in Python or TypeScript. Capable of collaborating across departments to identify opportunities for efficiency and knowledge sharing while ensuring responsible AI usage and data protection.
Highest-signal resume keywords
Python ProgrammingTypeScript ProgrammingAI-Powered Application DevelopmentAPI IntegrationAI Security and Data Privacy
ATS Keywords
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Hard Skills
Software EngineeringBuilding AutomationsAI TechnologiesLLMsTechnical Problem SolvingInternal Tool DevelopmentHands-On WorkshopsImplementation of SolutionsExperimentation with New TechnologiesKnowledge Sharing
Soft Skills
ProactiveCuriousCommunicationCollaborationTeaching
Tools & Technologies
LangChainLangGraphMCPRAGN8nMakeZapier
Industry Keywords
AI AgentsIntegrationsData ProtectionResponsible ExperimentationInternal Tools
Tech Stack
Tools & technologiesPythonTypeScript
About the role
Key responsibilities & impact- Design and build internal AI agents, automations, integrations, and tools that solve real business problems
- Work with teams across Engineering, Product, Sales, Support, Finance, and HR to understand workflows and identify opportunities to save time and reduce manual work
- Take ideas from discovery through implementation and ensure solutions are useful and adopted
- Experiment with new AI technologies and apply practical solutions to everyday work
- Support employees exploring how AI can improve their work
- Run hands-on workshops and training sessions tailored to different teams
- Help non-technical employees build automations and tools with appropriate guidance and guardrails
- Create and maintain a shared library of AI tools, agents, templates, and best practices
- Build a network of AI champions across departments to encourage knowledge sharing and experimentation
- Help define the internal AI tool stack with Security and IT
- Establish guidelines for AI usage, data protection, and responsible experimentation
- Evaluate new models, tools, and technologies for practical usefulness
- Work directly with the CTO and collaborate across the company
Requirements
What you’ll need- 5+ years of experience in software engineering or a similarly hands-on technical role
- Strong programming skills in Python or TypeScript
- Hands-on experience building AI-powered applications, agents, integrations, or automations using LLMs
- Experience taking technical solutions from idea to implementation, ideally building tools that people actually use
- Comfortable working with APIs, integrating different systems, and solving technical problems independently
- Proactive and naturally curious, with the ability to understand how people work, spot opportunities, and build solutions independently
- Comfortable working with technical and nontechnical teams, and able to explain complex concepts simply and practically
- Enjoys sharing knowledge, helping others learn, and experimenting with new technologies
- Fluent English and Hebrew
- Nice to have: experience with AI frameworks and technologies such as LangChain, LangGraph, MCP, RAG, or similar
- Nice to have: experience with automation platforms like n8n, Make, or Zapier
- Nice to have: experience deploying, monitoring, and maintaining AI-powered applications in production
- Nice to have: previous experience building internal tools or automations used across multiple departments
- Nice to have: familiarity with AI security, data privacy, and access controls