✦ Luna Orbit — AI & Machine Learning

Applied AI Engineer, Enterprise GenAI

at Scale AI

📍 San Francisco, CA; New York, NY Onsite Posted April 02, 2026
Type Full-Time
Experience senior
Exp. Years Not specified
Education Bachelor's degree in Computer Science, Mathematics, or related field
Category AI & Machine Learning

Applied AI Engineer to build enterprise GenAI solutions on Scale's Generative Platform. You will work with clients to deliver AI agents with multimodal capabilities and tool-calling, across SF and NYC locations.

  • Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
  • Leverage SGP to build the most advanced AI agents across the industry
  • Gather business requirements and translate them into technical solutions
  • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally
  • Push production code in multiple development environments

Role focuses on developing production-grade AI solutions using Python, NumPy, Pandas, and cloud platforms (AWS, GCP). Experience with LLMs, multimodal systems, and tool-calling is essential, with on-site client collaboration.

The ideal candidate is a senior AI engineer with a strong software engineering background, proficient in Python, ML tooling, and cloud platforms (AWS and GCP). They should have hands-on experience with Generative AI, multimodal systems, and tool-calling, and be comfortable collaborating with clients on on-site engagements.

Bachelor's degree in Computer ScienceMathematicsor related fieldExperience with cloud technology stacks (AWS and/or GCP)Proficiency in PythonNumPyPandasExperience with Generative AImultimodal functionalitytool-callingLLMs
Experience building AI agents for enterpriseMLOps conceptsFamiliarity with state-of-the-art LLMsProduction-grade AI systems
PythonNumPyPandasAmazon Web ServicesAWSGoogle Cloud PlatformGCP
PythonNumPyPandasAmazon Web ServicesAWSGoogle Cloud PlatformGCPLarge Language ModelLLMMultimodal functionalityTool-callingGenerative AIProduction MLEnterprise GenAIOn-site collaboration
PythonNumPyPandasAmazon Web ServicesAWSGoogle Cloud PlatformGCPLarge Language ModelLLMMultimodal functionalityTool-callingGenerative AIProduction MLEnterprise GenAIOn-site collaboration
Problem-solvingCollaborationCommunicationAdaptabilityLearning mindsetClient-focused
Industry SaaS
Job Function Develop and deploy enterprise GenAI solutions and AI agents for Scale's Generative Platform
Role Subtype AI Engineer
Tech Domains Python, Amazon Web Services, Google Cloud Platform
applied ai engineerenterprise genaillmmultimodaltool-callingpythonnumpypandasamazon web servicesawsgoogle cloud platformgcpproduction mlgenerative aion-sitesan franciscoai engineerenterprise ai

Lack of Bachelor's degree in a quantitative field, No cloud experience (AWS or GCP), No Python/Numpy/Pandas experience, No production ML experience

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