AI Engineer
Core
Build the shared platform layer (orchestration engine, skills registry, evaluation harness, guardrails, memory service) that makes Kaltura's agentic AI extensible, measurable, and self-improving for real-time conversational and offline video generation runtimes.
Role type
Senior IC platform AI engineer (agentic systems)
Builds
Shared agentic AI infrastructure consumed by real-time and offline video generation runtimes
Domain
Video technology + Agentic AI platforms
Deliverable
production ML models
Required skills
Python, distributed services, LLM orchestration, LangChain/LangGraph, platform primitives, RAG systems, real-time system constraints, systems design
Preferred skills
LLM evaluation, multi-tenant platforms, speech/multimodal AI pipelines, observability and tracing, agentic AI frameworks, guardrails and safety
Technologies
LangChain, LangGraph, Pinecone, Weaviate, Qdrant, DeepEval, Ragas, CrewAI, AutoGen, Semantic Kernel, MCP protocol, Langfuse, Opik, OpenTelemetry
Responsibilities
Design and build orchestration engines, skills registries, evaluation harnesses, guardrails systems, memory services, and integration gateways; ensure low-latency performance for real-time streaming; integrate open-source tooling with proprietary layers; implement multi-tenant isolation and safety checks.
Seniority
Senior, hands-on IC
