Full stack AI Engineer C2C contract at Washington, DC

Tech Mirrors; Washington (District of Columbia); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Tech Mirrors is hiring a Full stack AI Engineer in Washington, DC, with a hybrid work model. This role requires proven experience in full stack AI engineering, focusing on designing, developing, and deploying AI-powered applications.

The ideal candidate will have at least 8 years of expertise in Python, React, and Azure cloud services, alongside a background in Responsible AI practices. Collaboration in cross-functional teams and familiarity with agile methodologies are essential for this position.

Qualifications

• 8 years of full stack AI engineering experience.
• Strong proficiency in Python for AI/ML development.
• Advanced React skills for dynamic user interfaces.

Responsibilities

• Design, develop, and deploy AI-powered applications.
• Implement Responsible AI practices like explainability and bias mitigation.
• Collaborate with cross-functional teams in an agile environment.

Skills

Full stack AI engineering

Python

React

Azure cloud services

Responsible AI practices

LLMs (e.g., GPT-based models)

Cloud-native development

Agile methodologies

Tools

Azure DevOps

Git

Angular

.Net

Pega

Job description

Job Title : Full stack AI Engineer

Location : Washington, DC (Hybrid)

Duration : 12 Months

Job Description

Roles and Responsibilities

• Proven expertise (8 years) in full stack AI engineering, including design, development, and deployment of AI‑powered applications.
• Strong proficiency in Python for AI/ML model development, orchestration, and integration.
• Advanced React skills for building dynamic, GenAI‑enabled user interfaces.
• Extensive experience with Azure cloud services (e.g., Storage, Azure OpenAI, Azure DevOps, Service bus, Azure Functions, etc).
• Demonstrated knowledge in implementing Responsible AI practices (explainability, bias mitigation, governance, ethical AI).
• Hands‑on experience with LLMs (e.g., GPT‑based models), GenAI frameworks, or Copilot tools for AI‑augmented development workflows.
• Familiarity in cloud‑native development, and CI/CD automation.
• Strong background in modern application architecture, API design, and secure integration of AI services.
• Familiarity with agile methodologies, version control (Git/Azure DevOps), and collaborative project delivery in cross‑functional teams.
• Knowledge in Angular, React, .Net, Azure Full stack, RESTful microservices and Pega.