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AI Engineer

Pragma Edge IncNew York, NY🇺🇸United StatesPosted Oct 1, 2026

Why This Role Stands Out

As an AI Engineer at Pragma Edge Inc, you'll be instrumental in driving AI transformation, building innovative AI agents and copilots with a focus on responsible AI practices. This hybrid role offers exciting opportunities for hands-on experience and collaboration within a reputable technology company, perfect for those eager to shape the future of AI. Apply today to leverage your AI engineering skills and contribute to cutting-edge projects!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
New York, NY, United States
Posted
5 days ago
SQLLLMPower BI

Job Description

The Role

The AI Engineer will be a crucial technical partner in advancing our AI transformation and will work closely with the Senior Director of AI to implement strategies and recommendations. This role requires hands-on experience in AI engineering and a deep understanding of AI-native ways of working.

Responsibilities

  • Build and prototype AI agents, copilots, and proofs of concept based on business priorities
  • Apply AI-assisted and agentic approaches to solution design, prototyping, testing, and documentation
  • Integrate AI experiences with enterprise data and business applications
  • Evaluate AI applications and capabilities through research and testing
  • Engineer responsible AI solutions with data security and access controls
  • Collaborate with development teams and prepare solutions for ongoing ownership

Required Qualifications

  • Practical experience applying AI in engineering lifecycle
  • Hands-on experience with AI features, LLM-enabled applications, copilots, etc.
  • Familiarity with Microsoft ecosystem and enterprise AI environment
  • Strong knowledge of SQL, APIs, and system integration
  • Understanding of AI evaluation, data security, and access controls
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Experience with OpenAI/ChatGPT and Anthropic/Claude ecosystems
  • Familiarity with Microsoft data and applications like Power BI and Dynamics 365
  • Knowledge of agent development lifecycle concepts and Microsoft AI evolutions
  • Ability to facilitate knowledge transfer and technical evaluations

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