Platform Engineer/ AI Engineer

Job Title: AI Engineer/ Platform Engineer Experience : 2-5 Years Location : NYC / Dallas Role OverviewWe are looking for an AI DLC-focused Engineer to drive AI-accelerated adoption. The ideal candidate will have expertise in managing probabilistic systems, overseeing AI agents, and building scalable AI-driven solutions. A strong background in Java/Full Stack development and cloud-based services (preferably AWS) is preferred.Key ResponsibilitiesDrive AI-native engineering, ensuring systemic oversight and strong operational disciplineMove beyond prompt-based solutions to build systems that deliver relevant, real-time data to AI models, scaling from POC to enterprise-grade productionImplement and optimize Retrieval-Augmented Generation (RAG) to ground AI models in proprietary and real-time dataDebug non-deterministic failures and mitigate hallucinations using structured evaluation frameworksDesign and develop AI agent-based systems capable of autonomous planning, decision-making, and tool usageTranslate ambiguous business requirements into well-defined technical specifications suitable for AI systemsManage the expanded security surface of AI-generated APIs and endpoints, including adversarial testing and ensuring data privacyLead AI deployment and scaling strategies, optimizing for latency, cost, and performance across cloud, edge, or hybrid environmentsWork with and manage vector databases for efficient data retrievalMaintain strong architecture discipline, ensuring clean project structure, version control (Git), and minimizing technical debt in AI-generated codeSupport automation, deployment, and monitoring across the AI system lifecycleRequired Skills & QualificationsStrong experience in Java / Full Stack DevelopmentHands-on experience with AWS or other cloud platformsUnderstanding of probabilistic systems and AI/ML conceptsExperience with RAG frameworks and vector databasesFamiliarity with AI agents and LLM-based systemsAbility to debug non-deterministic AI behaviorKnowledge of AI security, adversarial testing, and data privacyStrong grasp of system design, scalability, and architecture best practicesExperience with Git, CI/CD, and DevOps practices