AI Engineering Lead

Upwind Security

. Design and maintain the orchestration backbone for multi-step, autonomous agents that investigate, reason about, and act on complex security operations .

Posted 10/7/2026full-timeTel Aviv • IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend engineering for ML/AI systems, focusing on building and maintaining agentic workflows and orchestration frameworks. Proven ability to collaborate with researchers to implement production-grade autonomous systems with a strong emphasis on reliability and observability.

Highest-signal resume keywords

Backend EngineeringML/AI SystemsLLMs and Agentic FrameworksLangChain / LangGraphEvaluation Frameworks and Observability

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Backend EngineeringMachine LearningArtificial IntelligenceAgentic FrameworksAPIs DevelopmentOrchestrationState ManagementData PipelinesEvaluation FrameworksObservability

Soft Skills

CollaborationAdaptability

Tools & Technologies

LangChainLangGraph

Industry Keywords

Autonomous SystemsSecurity OperationsProduction-Grade WorkflowsNon-Deterministic AI

About the role

Key responsibilities & impact

Design and maintain the orchestration backbone for multi-step, autonomous agents that investigate, reason about, and act on complex security operations
Contribute to a shared platform for models, data pipelines, training, evaluation, and observability
Build and maintain the agentic workflow engine, including orchestration, tool use, state management, retries, and evaluation
Develop backend services and APIs that deploy AI capabilities safely and at scale
Collaborate with AI Researchers to translate findings into production-grade autonomous workflows
Own reliability, observability, and performance of agentic systems in production

Requirements

What you’ll need

Mid-to-senior engineering experience, or relevant technical military experience
Strong backend engineering background with a focus on ML/AI systems
Hands-on experience building with LLMs and agentic frameworks in production
Comfort operating in a fast-paced environment, bridging research and product engineering
Experience with LangChain / LangGraph (or comparable agent-orchestration frameworks) — a significant plus for this role
Experience with evaluation frameworks and observability for non-deterministic AI systems