Java Software Engineer – AI / Agentic Systems

Location: Charlotte, NC (F2F interview)Duration: 24 MonthsRole OverviewWe are seeking a Java Software Engineer with strong full-stack expertise and deep exposure to emerging AI engineering paradigms, including agentic architectures and multi-agent orchestration. This role sits within a high-impact engineering team responsible for rapidly building and scaling AI-enabled solutions across multiple business lines.The team operates as an internal AI acceleration unit—partnering with application teams to prototype, productionize, and scale intelligent systems that enhance digital capabilities, automation, and decision-making.Key AI Focus AreasAgentic AI architectures (autonomous / semi-autonomous systems)LangGraph for workflow-driven LLM orchestrationMulti-agent orchestration patterns (collaborative AI systems)AI-powered application development and integrationTeam MissionWhen Application Teams Require AI Capabilities, This TeamExecutes rapid prototyping and development (0 → 1 builds)Designs and delivers custom AI-powered solutionsAccelerates adoption of LLM-driven features and automationEnables scalable, production-grade AI implementations across the enterpriseKey ResponsibilitiesLead complex, large-scale engineering initiatives with enterprise-wide impactDefine and implement engineering standards and best practices for AI and full-stack systemsArchitect, design, develop, test, and deploy scalable AI-enabled applicationsEvaluate and solve highly complex technical challenges, including ambiguous or novel AI use casesDrive adoption of agentic workflows and orchestration frameworksReview system architecture and ensure alignment with business objectives and enterprise technology strategyInfluence and mentor engineering teams, promoting innovation and technical excellenceCollaborate with senior engineers, architects, and external experts to resolve critical technical issuesLead or contribute to cross-functional initiatives involving AI transformationRequired Qualifications5+ years of Software Engineering experience (or equivalent practical experience)Strong backend expertise in Java / Spring Boot4+ years of experience with Python4+ years of experience with Angular4+ years of experience with ReactHands-on experience with LangGraph (1+ year)Experience building or integrating multi-agent orchestration systems (1+ year)Strong understanding of system design, distributed systems, and scalable architecturesDesired QualificationsExperience with: Kafka, S3, Dremio, Vault, EPLX2+ years of experience with PySpark / large-scale data processingExperience working in Agile environmentsExposure to cloud platforms (AWS, Azure, or GCP)Hands-on experience with:AI-powered tools and applicationsChatbots and conversational AILLM-based automation workflowsAgentic AI systemsUnderstanding of:AI risks (bias, hallucination, security)Observability and monitoring for AI systemsStakeholder communication for AI-driven initiativesPrior experience in the Financial Services industryStrong communication and stakeholder management skillsProven ability to handle multiple priorities in fast-paced environmentsExcellent problem-solving and analytical capabilitiesWhat Makes This Role UniqueWork on cutting-edge AI paradigms (agentic systems, multi-agent orchestration)Direct influence on enterprise-wide AI adoption strategyOpportunity to build production-grade AI systems, not just prototypesHigh visibility with senior leadership and cross-functional teamsSkills: python,agentic systems,langgraph,java ai,react,container orchestration,angular,java