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Java with AI Developer

Company:
Futran Tech Solutions Pvt. Ltd.
Location:
Houston, TX
Posted:
September 08, 2026
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Description:

Job Title- Java with AI Developer

Location- Houston, TX

Full Time

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

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