✦ Luna Orbit — Software Engineering

Senior Software Engineer - AI Code Gen - Agent Engineer

at Datadog

📍 New York, New York, USA Hybrid Posted March 11, 2026
Type Not Specified
Experience mid
Exp. Years 5+ years
Education Not specified
Category Software Engineering

Backend engineer role at Datadog focusing on developing AI-powered code generation and agent systems using large language models and scalable architectures.

  • Develop AI-assisted tools
  • Work on prompts and evals
  • Prototype and iterate
  • Integrate with Datadog products
  • Collaborate with teams

Environment includes LLMs, AI systems, developer tools, and backend languages like Go, Java, and Python, with emphasis on system integration and AI deployment.

The ideal candidate is a backend engineer with at least 5 years of experience in Go, Java, or Python, with hands-on experience deploying LLM-based AI systems in production. They are collaborative, innovative, and skilled in system integration and prompt engineering.

Backend engineer with at least 5 years of experienceExperience with LLMs in productionExperience with large-scale systemsProficiency in GoJavaPython
Experience with AI systemsExperience with developer toolsPrompt engineeringSystem integration
LLMsAI systemsDeveloper toolsPrompt engineering tools
GoJavaPythonLarge Language ModelsLLMsMachine LearningPrompt EngineeringAgent ToolsSystem IntegrationDeveloper Tools
GoJavaPythonLarge Language ModelsLLMsMachine LearningData SetsPrompt EngineeringAgent ToolsSoftware DevelopmentAICode GenerationSystem IntegrationDeveloper Tools
CollaborationCommunity EngagementTechnical CommunicationPragmatismInnovationProblem-solving
Industry SaaS
Job Function Build AI-enabled developer tools and systems
Senior Software EngineerAI Code GenAgent EngineerGoJavaPythonLarge Language ModelsLLMsMachine LearningPrompt EngineeringAgent ToolsSystem IntegrationDeveloper ToolsAIAI systemsPrompt engineeringAgent toolsSystem integrationDeveloper tools

Less than 5 years of experience, No experience with LLMs in production, Lack of experience with large-scale systems

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