AI Agent Engineer for Modern Enterprise Apps

Insight Global

Town of Texas (WI)

On-site

USD 120,000 - 190,000

Full time

10 days ago
Application generator

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Job summary

Insight Global is seeking an Agentic Developer to join a focused Modernization Strike Team tasked with rewriting how enterprise software is built, tested, and operated using AI. You will design and deploy autonomous agents and AI-driven workflows to transform legacy ERP systems into modern platforms, choosing models and architectures to accelerate value.

You will work with a 4-person squad of enthusiastic peers, solving complex business requirements by building multi-step AI workflows and

Qualifications

  • Software engineering background with hands-on development experience.
  • Experience building AI/LLM applications using leading tools.
  • Proficient in Python and SQL.
  • Experience designing, debugging, and deploying autonomous AI agents and agentic workflows.
  • Ability to modernize legacy ERP systems with AI.

Responsibilities

  • Use AI tools to accelerate development, testing, and documentation 10x faster than traditional methods.
  • Build, debug, and deploy autonomous agents and agentic workflows that navigate complex ERP schemas and business logic.
  • Treat 20-year-old legacy systems as puzzles for AI-driven modernization.
  • Build for 100% reliability with automated validation, evals, and guardrails.

Skills

Software engineering
AI/LLM applications
AI tool acceleration
Autonomous AI agents
Python/SQL
AI integration
Legacy modernization
AI experimentation

Tools

LangGraph
AutoGen
Playwright-LLM
LangChain
RAG architectures
APIs
MCP servers

Job description

Insight Global is seeking an Agentic Developer to join a focused Modernization Strike Team tasked with rewriting how enterprise software is built, tested, and operated using AI. You will design and deploy autonomous agents and AI-driven workflows to transform legacy ERP systems into modern platforms, choosing models and architectures to accelerate value.

You will work with a 4-person squad of enthusiastic peers, solving complex business requirements by building multi-step AI workflows and

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