24 days ago
Tel Aviv-Yafo, IsraelMid Level
Responsibilities
- Build, implement, and maintain AI-powered intelligence systems using LLMs, agentic capabilities, MCPs, Skills, and advanced RAG.
- Automate competitive intelligence data collection, analysis, knowledge sharing, and stakeholder access.
- Drive AI solution projects from initial concept through execution, delivery, and broad adoption.
- Evaluate and recommend AI and ML tools and frameworks to improve productivity and effectiveness.
- Design scalable and reliable LLM-based system architectures.
- Gather requirements, participate in product discussions, and collaborate with internal customers.
- Investigate complex systems, cloud environments, source code, and documentation and synthesize findings into actionable insights.
- Coordinate with IS, IT, and data science teams to support enterprise-wide systems integration.
- Conduct technical research on software delivery supply chains, DevOps, DevSecOps, and MLOps.
Requirements
- Bachelor’s degree or higher in Computer Science, Data Science, Software Engineering, or a similar field.
- At least 4 years of relevant hands-on experience developing and scaling production-grade GenAI architectures using modern LLM stacks.
- Proficiency with LangChain, CrewAI, OpenClaw, PyTorch, Keras, NLP, vector databases, RAG, MCPs, and Skills.
- Fluency in Python and at least one of TypeScript/JavaScript, Go, or Rust.
- Hands-on experience with cloud and cloud-native environments, including AWS, GCP, Azure, containers, and Kubernetes.
- Ability to conduct deep technical investigations and synthesize complex technical information into clear insights.
- Strong communication skills and ability to coordinate action across diverse organizational groups.
- Excellent written and verbal English communication skills.
- Full-stack web development experience is a significant advantage.
- At least 3 years of hands-on experience configuring and using DevSecOps technologies such as Kubernetes, JFrog Artifactory, GitLab, SonarQube, coding agents, security vulnerability scanners, and GitHub Actions is a significant advantage.
Tech Stack
AWSAzureGitHub ActionsGoGoogle Cloud PlatformJavaScriptKerasKubernetesPythonPyTorchRustSonarQubeTypeScript
Categories
