Full Stack AI Developer

AI Developer #2614Position Summary:Our partner is a U.S.-based international bank expanding how artificial intelligence supports secure, regulated financial operations. As part of this initiative, they are adding an AI Developer to build backend AI solutions that automate workflows and connect intelligent agents with existing enterprise systems. You’ll work primarily in Python, developing AI agents, RAG-based solutions, and workflow integrations that interact with APIs, databases, and business platforms. This is software engineering first, with AI applied to real operational problems rather than experimental research.The environment is highly regulated, so successful solutions must balance functionality with security, governance, reliability, and compliance. It’s a strong fit for an engineer who enjoys figuring things out, building practical systems, and growing deeper into production AI development.Experience and Education:BS in Computer Science, Information Technology, Software Engineering, or equivalent experience/fieldStrong software engineering background with hands-on Python developmentProven work building or supporting backend applications, services, or workflow-driven systemsHands-on exposure to AI agents, LLM applications, or production AI solutionsFamiliarity integrating applications with APIs, databases, and enterprise systemsBackground working within regulated, compliance-driven, or data-sensitive environmentsExposure to cloud-based application developmentSkills and Strengths:PythonBackend EngineeringAI Agent DevelopmentRetrieval Augmented GenerationLarge Language ModelsAPI IntegrationWorkflow AutomationDatabase IntegrationSoftware ArchitectureGemini EnterpriseVertex AITool CallingAgent OrchestrationPrompt EngineeringREST APIsCloud Application DevelopmentApplication SecurityAI GovernanceRegulatory CompliancePrimary Job Responsibilities:Develop backend AI applications and workflow-driven solutions using PythonBuild AI agents that support and automate internal business processesImplement Retrieval-Augmented Generation solutions for enterprise use casesConnect AI applications with APIs, databases, and existing business systemsDevelop agent workflows capable of retrieving information, applying business logic, and completing defined tasksIntegrate AI capabilities into existing enterprise and banking workflowsEvaluate AI tools and technical approaches based on business requirementsApply software engineering practices to AI development, testing, deployment, and maintenanceBuild safeguards and controls appropriate for a regulated environmentSupport secure handling of sensitive business and customer dataTroubleshoot integration, workflow, and application reliability issuesCollaborate with business, technology, risk, and compliance stakeholdersContribute to technical decisions involving performance, complexity, cost, and maintainabilityLearn and adapt to new AI technologies as the organization’s capabilities evolveHelp move AI concepts from experimentation into practical production use