Java with AI Developer

• Grow through mentorship and ownership
  Work directly with experienced engineers who will challenge your technical depth and support increasing ownership over time.

• Build agentic features, hands-on
  Partner with senior engineers to design and ship AI-powered remediation capabilities, including:
• Agent workflows
• Retrieval pipelines
• Evaluation loops
• Write production code daily
  Develop and maintain Java/Spring Boot microservices and AI integrations running on AWS.
• Own the full lifecycle
  Contribute from design doc to production release-instrumented, monitored, and continuously improved based on real usage and feedback.
• Bring fresh technical perspective
  Apply up-to-date knowledge of models, frameworks, and techniques to influence architecture and implementation decisions.

Technology Stack

Backend: Java, Spring Boot microservices

Cloud: AWS (Lambda, SQS, SNS, IAM, CloudWatch)

AI/Agentic Stack:

o AWS Bedrock and AgentCore

o MCP for tool integration

o RAG pipelines with vector and graph-based retrieval

o LLM-as-judge evaluation workflows

Additional languages/tools at the edges: Python, Go

Experience with multiple LLM APIs or agent frameworks

Working proficiency in Python or Go

POCs using AI for coding, automation, or data workflows

Contributions to open-source AI/ML tooling

Required Qualifications

• 4+ years of professional software engineering experience
  You've shipped real production features and understand reliability, maintainability, and operational quality.
• Demonstrated curiosity in AI/agentic systems
  You've built with LLMs or agents (work project, side project, hackathon, or personal experiment). We care about practical exploration and what you learned.
• Strong software engineering fundamentals
  Solid understanding of:
• Distributed systems basics
• API design and integration
• Cloud infrastructure (preferably AWS)
• Code quality and system design principles