AI Engineer

Mondo
Raleigh, NC
Apply now: AI Engineer , location is remote . The start date is two weeks AFTER offer for this 6 month (likelihood to convert or extend) position.

Job Title: AI Engineer
Location-Type: REMOTE (10% travel expectation)
Start Date Is: 2 weeks after offer
Duration: Contract (likelihood to convert or extend)
Compensation Range: $90-$120/hour

Benefits: Eligible for Health, Dental, Vision, 401K
Not eligible for Visa sponsorship

Job Description:
  • Insight is hiring an AI Engineer to support a major enterprise AI initiative. You'll be building agentic AI systems and API-driven platforms on Azure , focused on real-world business use cases like:

  • Financial analysis automation
  • Risk modeling workflows
  • Insurance quote/premium optimization
  • Internal AI copilots for employees
  • This is not experimental AI work — this is production-grade LLM system engineering with real users and business impact.

Requirements:
  • What You'll Be Doing

  • Build and deploy LLM-powered applications using Python
  • Develop agentic workflows using frameworks like LangChain
  • Work within a defined architecture to deliver feature-level ownership
  • Integrate AI systems with APIs and enterprise platforms
  • Collaborate directly with clients and stakeholders
  • Contribute to AI platform development on Azure
  • Expect:

  • Up to 100% hands-on coding
  • High autonomy in execution
  • Customer-facing interaction
  • What They're Looking For (Must-Haves)

  • 6–8 years of software engineering experience
  • Hands-on Python development (daily coding)
  • Real-world LLM/AI systems built in production (post-2023)
  • Experience with LangChain or similar frameworks
  • Familiarity with MLOps / ML lifecycle
  • Experience using AI dev tools (Copilot, Cursor, etc.) recently
  • Ability to work independently within an architecture
  • Strong communication (client-facing role)
  • US Citizen or Green Card
  • Nice-to-Haves

  • Azure (especially AI services / AI Foundry)
  • DevOps / CI-CD pipelines
  • Full-stack capability (frontend backend)
  • Data engineering or data science background
  • Certifications (Azure AI, Databricks ML, AWS ML)
Posted 2026-04-06

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