Java Software Engineer – AI / Agentic Systems

Location: Charlotte, NC (F2F interview)

Duration: 24 Months

Role Overview

We 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 Areas

• Agentic AI architectures (autonomous / semi-autonomous systems)
• LangGraph for workflow-driven LLM orchestration
• Multi-agent orchestration patterns (collaborative AI systems)
• AI-powered application development and integration
  
  

Team Mission

When Application Teams Require AI Capabilities, This Team

• Executes rapid prototyping and development (0 → 1 builds)
• Designs and delivers custom AI-powered solutions
• Accelerates adoption of LLM-driven features and automation
• Enables scalable, production-grade AI implementations across the enterprise
  
  

Key Responsibilities

• Lead complex, large-scale engineering initiatives with enterprise-wide impact
• Define and implement engineering standards and best practices for AI and full-stack systems
• Architect, design, develop, test, and deploy scalable AI-enabled applications
• Evaluate and solve highly complex technical challenges, including ambiguous or novel AI use cases
• Drive adoption of agentic workflows and orchestration frameworks
• Review system architecture and ensure alignment with business objectives and enterprise technology strategy
• Influence and mentor engineering teams, promoting innovation and technical excellence
• Collaborate with senior engineers, architects, and external experts to resolve critical technical issues
• Lead or contribute to cross-functional initiatives involving AI transformation
  
  

Required Qualifications

• 5 years of Software Engineering experience (or equivalent practical experience)
• Strong backend expertise in Java / Spring Boot
• 4 years of experience with Python
• 4 years of experience with Angular
• 4 years of experience with React
• Hands-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 architectures
  
  

Desired Qualifications

• Experience with: Kafka, S3, Dremio, Vault, EPLX
• 2 years of experience with PySpark / large-scale data processing
• Experience working in Agile environments
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Hands-on experience with:
• AI-powered tools and applications
• Chatbots and conversational AI
• LLM-based automation workflows
• Agentic AI systems
• Understanding of:
• AI risks (bias, hallucination, security)
• Observability and monitoring for AI systems
• Stakeholder communication for AI-driven initiatives
• Prior experience in the Financial Services industry
• Strong communication and stakeholder management skills
• Proven ability to handle multiple priorities in fast-paced environments
• Excellent problem-solving and analytical capabilities
  

What Makes This Role Unique

• Work on cutting-edge AI paradigms (agentic systems, multi-agent orchestration)
• Direct influence on enterprise-wide AI adoption strategy
• Opportunity to build production-grade AI systems, not just prototypes
• High visibility with senior leadership and cross-functional teams
  
  

Skills: python,agentic systems,langgraph,java ai,react,container orchestration,angular,java