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Kaltura

AI Professional Services Engineer

Kaltura

. Work as a hands-on engineer in an AI Professional Services (Forward-Deployed) Engineering pod .

Posted 11/5/2026full-timeIsraelJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and deploying backend services, distributed systems, and APIs, with a strong focus on technical delivery and architecture design in complex enterprise environments. Proven ability to lead technical initiatives and collaborate with external engineering teams to deliver customer-specific capabilities.

Highest-signal resume keywords
Production Software EngineeringBackend Services DevelopmentDistributed Systems ArchitectureTechnical LeadershipModel Context Protocol (MCP) Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonTypeScriptNode.jsGoAPIsStateful Agent WorkflowsHybrid SearchSemantic ChunkingTool/Function CallingProduction RAG Pipelines
Soft Skills
Problem-SolvingCollaborationAdaptability
Tools & Technologies
Automated Evaluation SuitesObservability TechniquesRegression SuitesGround-Truth Test Scenarios
Industry Keywords
Forward-Deployed EngineerSolutions EngineerASR Domain Vocabulary BiasingTTS Pronunciation TuningTenant Isolation

Tech Stack

Tools & technologies
Distributed SystemsJavaScriptNode.jsPythonTypeScriptGo

About the role

Key responsibilities & impact
  • Work as a hands-on engineer in an AI Professional Services (Forward-Deployed) Engineering pod
  • Embed with priority enterprise customers
  • Own technical delivery from initial discovery and prototyping through stable production
  • Build customer-specific capabilities that provide immediate operational value
  • Turn broadly useful customer capabilities into durable platform primitives
  • Build production skills and agents
  • Create automated evaluation suites with ground-truth test scenarios, golden datasets, and regression suites
  • Measure semantic correctness, tool-call fidelity, and behavioral stability
  • Implement observability and continuous tuning using current observation and measurement techniques
  • Conduct architecture reviews and design agentic systems
  • Extract technical requirements from complex enterprise environments and rapidly design working systems

Requirements

What you’ll need
  • 2+ years in production software engineering
  • Deep hands-on experience building backend services, distributed systems, and APIs in Python, TypeScript/Node.js, or Go
  • Personally write, review, and ship production code
  • Direct experience building and deploying stateful agent workflows, tool/function calling, structured outputs, context window optimization, and production RAG pipelines
  • Experience with hybrid search, semantic chunking, and re-ranking
  • Proven experience acting as a technical lead with external engineering teams
  • Experience as a Forward-Deployed Engineer, Solutions Engineer with production code ownership, or founding engineer
  • Ability to conduct architecture reviews and design agentic systems
  • Ability to enter complex, unfamiliar enterprise environments, extract technical requirements from ambiguous business problems, and rapidly design working systems
  • Strongly preferred: hands-on experience authoring or consuming Model Context Protocol (MCP) servers and clients
  • Strongly preferred: background in ASR domain vocabulary biasing and TTS pronunciation tuning
  • Strongly preferred: experience enforcing strict tenant isolation and preventing cross-tenant context leakage

Benefits

Comp & perks
  • Freedom to make an impact
  • Flexibility to balance work and life
  • Opportunity to grow
  • Openness, flexibility, and collaboration culture