✦ Luna Orbit — AI & Machine Learning

Forward Deployed Engineer

at 4minds

📍 Remote, US Remote 💰 $190K – $225K USD / year Posted March 25, 2026
Salary $190K – $225K USD / year
Type Full-Time
Experience mid
Exp. Years 3+ years
Education BS in Computer Science, Engineer, or related technical field
Category AI & Machine Learning

A technical customer-facing role focused on deploying, debugging, and optimizing large language models and AI pipelines for enterprise clients, involving real-time systems and integrations.

  • Partner with clients to deploy models
  • Debug and optimize pipelines
  • Build integrations with customer systems
  • Tune models and monitor performance
  • Develop deployment frameworks

Environment includes Python, Node.js, TypeScript, APIs, WebRTC, streaming systems, and deployment frameworks for AI/LLM solutions in production settings.

The ideal candidate is a mid-level engineer experienced in AI/LLM pipelines, model tuning, and real-time systems, with strong programming skills in Python, Node.js, and TypeScript, capable of deploying and debugging AI solutions in customer environments.

PythonAI/LLM pipelinesModel tuningAPIsDebuggingReal-time systems
Node.jsTypeScriptWebRTCStreaming systemsDeployment frameworks
PythonNode.jsTypeScriptAPIsWebRTC
PythonAI pipelinesLLMsModel tuningAPIsReal-time systemsNode.jsTypeScriptWebRTCStreaming systems
PythonNode.jsTypeScriptAI pipelinesLLMsModel tuningAPIsReal-time systemsDeploymentDebugging
communicationproblem-solvingcustomer focuscollaborationadaptability
Industry Technology
Job Function Deploy and optimize AI/LLM pipelines for enterprise clients
Role Subtype Field Engineer
Tech Domains Python, Node.js, TypeScript, APIs, WebRTC, Streaming systems
Forward Deployed EngineerPythonAI pipelinesLLMsModel tuningAPIsReal-time systemsNode.jsTypeScriptWebRTCStreaming systemsDeploymentDebuggingCustomer facingAI/LLM pipelinesreal-time APIsfield engineeringcloud deployment

Lack of experience with AI/LLM pipelines, No proficiency in Python or Node.js, No experience with real-time APIs or streaming systems

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