AI Fullstack Developer

WINNING EDGE
Hartford, CT, United States
1 day ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) .NET Framework Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests Code Review Continuous Integration Design of User Interfaces Python (Programming Language) Azure Machine Learning Systems Integration Software Vulnerability Management
+13 more
Web Application Frameworks Web Services Modern Ui GitHub Copilot ReactJS Large Language Models Prompt Engineering Backend Git Flow Data Management Front End Software Development Restful APIs Software Version Control

Job description

Build full-stack applications that integrate AI/ML outputs into user-facing and backend workflows.

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.

Requirements

5+ years building production software (backend and/or frontend) in Java/Python/.NET ecosystems.

Experience with web frameworks and modern UI (React or similar) and REST API development.

Working knowledge of CI/CD, Git workflows, and automated testing.

Comfort 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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:31 min

Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · World Congress 2025

5:02 min

Mapping Git flow branches to application tester segments

Majid Hajian · LIVE

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

1:12 min

Building intelligent applications and enhancing developer productivity experiences

Alexander Wallner Alexander Wallner +3 · World Congress 2024

3:53 min

Introduction to git flow and clean feature branches

Johannes Haux · World Congress 2022

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