✦ Luna Orbit — Software Engineering

AI Software engineer

at S&P Global

📍 2 Locations Unknown Posted April 03, 2026
Type Not Specified
Experience mid
Exp. Years 3-6 years
Education Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent practical experience
Category Software Engineering

AI Software Engineer designs and builds agentic AI platform components, ensures observability across the AI lifecycle, and leads experimentation and safety controls for production LLM-based agents.

  • Design and build agentic AI platform components (agents, tools, workflows)
  • Implement observability across AI lifecycle
  • Translate business problems into agentic AI solutions
  • Develop data pipelines and datasets for training and evaluation
  • Lead experimentation and benchmarking and implement guardrails

Stacks include Python, LLM/GenAI, cloud platforms (AWS/Azure/GCP), containers, serverless, data pipelines, and observability tooling (OpenTelemetry, Prometheus, Grafana, ELK); experience with LangChain and OpenAI Agents preferred.

The ideal candidate is a software/ML engineer with 3-6 years of experience building production-grade agentic AI systems, strong Python, cloud, and observability skills, and familiarity with LangChain and OpenAI-style agents.

3-6 years of experience in software engineeringdata engineeringML engineeringdata scienceor MLOpsBachelor's or Master's degree in Computer ScienceEngineeringData Scienceor equivalent practical experienceExperience with CI/CDcode reviewsand modern engineering practices
Exposure to LangChainLangGraphOpenAI AgentsLLM observabilityeval frameworks
AWSAzureGoogle Cloud PlatformDockerKubernetes
PythonLLMGenAIembeddingsvector searchRAGagentic AIobservabilityOpenTelemetryPrometheusGrafanaELKdata pipelinesPandasSparkdbtLangChainLangGraphOpenAI AgentsCI/CDproduction systemscloud platforms
PythonLLMGenAIEmbeddingsVector searchRAGAgentic AIObservabilityOpenTelemetryPrometheusGrafanaELKData pipelinesPandasSparkdbtLangChainLangGraphOpenAI AgentsCI/CDProduction systems
CollaborationCommunicationMentoringProblem solvingThoughtful trade-offsOwnership
Industry Finance & Banking
Job Function Develop production-grade agentic AI systems and ensure safe, observable operation across the AI lifecycle.
Role Subtype Software Engineer
Tech Domains Python, SQL / PostgreSQL, Kubernetes, Docker, Amazon Web Services, Google Cloud Platform, Azure, Linux
ai software engineeragentic aillmgenaipythonawsazuregoogle cloud platformkubernetesdockerdata pipelinesobservabilityopen telemetryprometheusgrafanalangchainlanggraphopenai agentsproduction systemsml engineeringci/cdcloud platforms

Less than 3 years of relevant experience, No cloud experience or Python proficiency, Lack of experience with LLMs or agentic frameworks

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