NET AI Engineer

Artech Information Systems LLC
New York, NY, United States
9 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$104,000.0 - $114,400.0
Working hours
Regular working hours

Tech stack

.NET Framework Artificial Intelligence Information Retrieval Knowledge Management Performance Tuning Software Engineering Enterprise Search Enterprise Software Applications Retrieval-Augmented Generation Multi-Agent Systems Agentic-AI Restful APIs
+2 more
Terraform Agent SDK

Job description

  • Translate employee needs into intuitive agent experiences
  • Develop RAG-based solutions and integrate enterprise systems and tools
  • Advance agentic solutions roadmap across agent orchestration, personalization, knowledge management, and self-service capabilities

Company Benefits & Culture

  • Comprehensive health and wellness benefits
  • Opportunities for professional growth and development
  • Inclusive and collaborative work environment

Requirements

We are seeking experienced AI Engineers to accelerate the delivery of Agentic AI Solutions. This role involves designing, building, and optimizing AI-powered agents, knowledge experiences, and workflow automations that improve employee productivity and enable trusted self-service. The ideal candidate combines strong software engineering skills with a user-centered mindset and hands-on experience building enterprise AI applications at scale., * Proficiency in C# and .NET application development

  • Experience with Client Agent Framework or similar enterprise agent frameworks
  • Knowledge of Azure AI Search, RAG architectures, and knowledge retrieval pipelines
  • Skills in REST APIs and enterprise system integrations
  • Prior work experience at client or in client’s industry

Applicants must be able to work directly for Artech on W2 Preferred Skills & Qualifications

  • Experience with Client 365 Agent SDK
  • Familiarity with Client Teams applications, Adaptive Cards, and conversational experiences
  • Knowledge of Infrastructure as Code using Terraform
  • Understanding of observability, telemetry, and AI performance optimization

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