Java Software Engineer – AI / Agentic Systems

Job Description

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

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