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AI Engineering Lead

Kaltura·Israel·
HybridFull-timeAI EngineeringEnterprise SoftwareMedia Technology

Lead hands-on AI initiatives across engineering and DevOps teams, from opportunity discovery and architecture through production implementation. Identify practical applications for AI, evaluate emerging tools, and deliver cloud-native solutions that improve engineering velocity, incident response,​​

Responsibilities

  • Lead AI-driven initiatives from scoping and architecture through hands-on execution
  • Drive adoption of AI tools and practices across development and DevOps teams
  • Identify opportunities to improve engineering velocity, incident response, cost efficiency, and system reliability
  • Coordinate stakeholders, dependencies, and execution across teams and departments
  • Translate AI capabilities into practical, production-grade solutions
  • Evaluate emerging AI tools, frameworks, and approaches for engineering use

Requirements

  • 7+ years of software engineering experience, including at least 3 years focused on AI/ML in production environments
  • Hands-on experience with backend services, APIs, microservices, CI/CD, infrastructure, observability, and cloud operations
  • Experience building or integrating AI/ML solutions in cloud-native, distributed systems; AWS experience is preferred
  • Strong understanding of metrics, logs, traces, alerting, and anomaly detection
  • Experience driving technical initiatives across multiple teams without direct authority
  • Ability to explain complex AI concepts to non-AI engineers and align stakeholders around outcomes

Nice to have

  • Experience with LLMs, RAG pipelines, or AI agents for engineering operations
  • Familiarity with Kubernetes, Grafana, or similar operational tools
  • Background in media technology, video streaming, or telecommunications platforms
  • Experience with Databricks, MLflow, or similar machine learning platform tools
  • Track record of introducing AI tooling that improved team velocity or system reliability at scale

Benefits

  • Hybrid and flexible work environment
  • Extended private health insurance, including mental health coverage
  • Personal and professional development programs
  • Occasional cross-company long weekends

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