Role: Java with AI Developer
Location: Houston, TX (Onsite)
FTE
Roles and Responsibilities:
· 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.
· Grow through mentorship and ownership
Work directly with experienced engineers who will challenge your technical depth and support increasing ownership over time.
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