Full Stack Java Developer with Gen AI & AWS

Siri InfoSolutions Inc
Minneapolis, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 250K

Job location

Minneapolis, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Code Review
Continuous Integration
Design of User Interfaces
Python
Azure
Systems Integration
Software Vulnerability Management
Web Applications
Web Application Frameworks
Web Services
Modern Ui
GitHub Copilot
React
Large Language Models
Prompt Engineering
Backend
Git Flow
Data Management
Front End Software Development
REST
Software Version Control

Job description

As a Full-stack Developer, you will play a crucial role in shaping the future of AI systems by leveraging your technical expertise to develop and maintain web applications that fac…

  • 2 days ago
  • Apply easily, As a Full-stack Developer, you will play a crucial role in shaping the future of AI systems by leveraging your technical expertise to develop and maintain web applications that fac…
  • 4 days ago
  • Apply easily

Requirements

Should have 6+ Years of experience as an AI/ML engineer. Develop APIs and services that orchestrate model inference, prompt flows, and agent/tool integrations. Leverage AI coding assistants (e.g., GitHub Copilot, agentic IDEs) to accelerate delivery while maintaining quality. Implement UI/UX experiences for AI-enabled features (explanations, feedback loops, human-in-the-loop controls). Apply secure SDLC practices: code reviews, testing, dependency management, and vulnerability remediation. Partner with architects and platform teams to align to standards and reuse shared components. 5+ years building production software (backend and/or frontend) in Java/Python/ Experience with web frameworks and modern UI (React or similar) and REST API development. Working knowledge of CI/CD, Git workflows, and automated testing. Hands on integrating with ML services, LLM/agent runtimes, or data platforms via APIs. Strong problem-solving skills and ability to deliver iteratively in an agile environment. Experience building internal tools or copilots with prompt engineering and tool/function calling. Experience with observability for AI features (quality metrics, prompt/model versioning). UX experience designing AI interactions and feedback capture.

Apply for this position