✦ Luna Orbit — AI & Machine Learning

AI Engineer

at SoFi

📍 CA - San Francisco Remote Posted March 31, 2026
Type Full-Time
Experience mid
Exp. Years 2-5 years
Education Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
Category AI & Machine Learning

AI Engineer at SoFi focuses on architecting agentic AI systems to solve real-world risk management problems, working at the intersection of LLMs, agents, and orchestration to improve internal workflows.

  • Architect and Develop Agentic AI Systems
  • Design the Experience Layer
  • Context Engineering and System Design
  • Productionize AI Systems
  • AI Observability and Evaluation

Role includes designing production-grade AI systems, integrating LLMs with tool use and memory, and building backend services and APIs on cloud platforms for risk insights and operational automation.

The ideal candidate is a mid-level AI Engineer with 2-5 years of software development experience, hands-on work with LLMs and agent frameworks, and a solid foundation in Python and cloud platforms (AWS/Azure/GCP) to build production-grade AI systems for risk analytics in fintech.

Bachelor’s or Master’s degree in Computer ScienceData ScienceArtificial IntelligenceMachine Learningor a related fieldTwo to five years of software development experienceHands-on experience building and shipping AI-powered applications or workflowsExperience with LLMs and promptingAPIsor agent frameworksExperience cloud platforms such as AWSAzureor GCP
LangGraph experienceLangSmith/Langfuse observabilityFrontend tech (React) for AI-powered interfacesExperience with data pipelines
LangGraphLangSmithLangfusePythonAPIsAWSAzureGoogle Cloud Platform
Bachelor’s or Master’s degree in Computer ScienceData ScienceArtificial IntelligenceMachine Learningor a related field; Two to five years of software development experience; Hands-on experience building and shipping AI-powered applications or workflows; Experience with LLMs and promptingAPIsor agent frameworks; Experience cloud platforms such as AWSAzureor GCP
PythonLLMsLarge Language ModelsLangGraphLangSmithLangfusepromptingagent frameworkscontext engineeringretrieval-based approachesAPIscloud platformsAWSAmazon Web ServicesAzureGoogle Cloud Platformdata pipelinesobservabilityproduction-grade services
strong problem-solvingcommunicationcollaborationownershipbias for actionability to work through ambiguity
Industry Fintech
Job Function Build and deploy agentic AI systems to improve risk management workflows at SoFi
Role Subtype AI Engineer
Tech Domains Python, Google Cloud Platform, Amazon Web Services, Azure, Linux
AI EngineerSoFiLLMsLarge Language ModelsLangGraphLangSmithLangfusepromptingagent frameworksPythonAPIscloud platformsAWSAmazon Web ServicesAzureGoogle Cloud Platformdata pipelinesobservabilityproduction-grade servicesrisk analytics
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