✦ Luna Orbit — AI & Machine Learning

Staff Applied AI Engineer, Enterprise GenAI

at Scale AI

📍 San Francisco, CA; Seattle, WA; New York, NY Onsite Posted April 09, 2026
Type Full-Time
Experience senior
Exp. Years 7+ years
Education Bachelor’s degree in Computer Science or Mathematics or related field, or equivalent strong engineering background
Category AI & Machine Learning

Staff Applied AI Engineer will partner with enterprise clients to design and deploy advanced AI agents and workflows using Scale's Generative Platform, spanning multimodal capabilities and tool-calling.

  • Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
  • Leverage Scale Generative Platform to build advanced AI agents (multimodal, tool-calling)
  • Gather business requirements and translate into technical solutions
  • Collaborate onsite with customer teams and Scale teams
  • Push production code in multiple development environments

Role focuses on ML solution development in cloud environments (AWS, GCP) using Python libraries (NumPy, Pandas) and large language models, with production deployment across customer and Scale codebases.

The ideal candidate is a senior AI/ML engineer with 7+ years of full-time experience, strong cloud and Python skills, and a track record delivering generative AI solutions at enterprise scale.

Bachelor’s degree in Computer Science or Mathematics or related fieldor equivalent strong engineering backgroundProficiency in Python to writetest and debug codeExperience with cloud technology stack (AWS or GCP)
Strong knowledge of software engineering best practicesExperience applying Generative AI in productionFamiliarity with state-of-the-art LLMs and their strengths/weaknesses
PythonNumPyPandasAmazon Web ServicesGoogle Cloud Platform
PythonNumPyPandasAmazon Web ServicesGoogle Cloud PlatformMachine LearningLarge Language ModelsGenerative AIMultimodalTool-calling7+ years of full-time engineering experiencepost-graduationBachelor’s degree in Computer Science or Mathematics or related fieldor equivalent strong engineering background
PythonNumPyPandasAmazon Web ServicesGoogle Cloud PlatformMachine LearningLarge Language ModelsLLMsGenerative AIMultimodalTool-calling
Client-facingCommunicationCollaborationProblem-solvingAdaptabilityLearning quickly
Industry SaaS
Job Function Develop enterprise-grade AI/ML solutions for customers using Scale's Generative Platform
Role Subtype Staff AI/ML Engineer
Tech Domains Python, NumPy, Pandas, Amazon Web Services, Google Cloud Platform, Machine Learning
Staff Applied AI EngineerEnterprise GenAIApplied AI EngineerGenerative AIMultimodalTool-callingPythonNumPyPandasAmazon Web ServicesGoogle Cloud PlatformMachine LearningLarge Language ModelsLLMsProduction code deployment7+ years of full-time engineering experiencepost-graduationScale Generative PlatformOnsiteData-driven experimentsBachelor’s degree in Computer Science or Mathematics or related fieldor equivalent strong engineering background
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