Agentic Developer

Insight Global
Atlanta, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Atlanta, United States of America

Tech stack

Artificial Intelligence
Airflow
Apache HTTP Server
Business Logic
JIRA
Software Debugging
Python
PostgreSQL
Microsoft SQL Server
SQL Databases
TypeScript
Enterprise Software Applications
Large Language Models
Multi-Agent Systems
Playwright
Docker
Legacy Systems

Job description

We are seeking an Agentic Developer to join a specialized "Modernization Strike Team" focused on rewriting how enterprise software is built, tested, and operated using AI. Your mission is to use AI to build autonomous agents and workflows that transform legacy ERP systems into modern, AI-driven platforms. We expect you to be a "Full-Stack Agent Engineer." You should be comfortable taking complex business requirements and building a multi-step AI workflow that solves it. You are not maintaining old code, you are building the future. If you enjoy 4-hour "alignment meetings" and writing Jira tickets for things an agent could do in 3 seconds, this is NOT the job for you. While a traditional "Senior Software Engineer" might be focused on completing tickets, a this person is focused on automating workflows and owning the execution of AI-driven modules. You'll have the freedom to choose the models, frameworks, and agent architectures you believe will win. You won't be the "only AI person" in the room. You'll be part of a 4-person squad of like-minded enthusiasts who are all obsessed with moving 10x faster.

Responsibilities include:

  • AI-Native Workflow: Use AI tools to accelerate development, testing, and documentation 10x faster than traditional methods.

  • Agentic Implementation: Build, debug, and deploy autonomous agents (LangGraph, AutoGen, Playwright-LLM hybrids) that navigate complex ERP schemas and business logic.

  • Legacy-to-Modern Bridge: Treat 20-year-old legacy systems as puzzles for AI-driven modernization.

  • Deterministic Mindset: Build for 100% reliability with automated validation, evals, and guardrails.

Requirements

Experience using AI tools to accelerate development, testing, and documentation

--Experience building, debugging, and deploying autonomous agents (LangGraph, AutoGen, Playwright-LLM hybrids) that navigate complex schemas and business logic

--Comfortable and proficient working in the following tech stack: Python, SQL (Postgres/SQL Server), TypeScript, OpenAI/Anthropic, pgvector/Qdrant, LangChain/LangGraph, dbt, Apache Hop/Airflow, Docker, Weights & Biases, OpenTelemetry. And, any other tool that helps us achieve greatness.

--Agent-First Thinker: You don't think in "functions"; you think in "capabilities." You've built at least one autonomous agent or complex LLM chain that does something useful.

--Not intimidated by spaghetti legacy code. You see a 20-year-old undocumented ERP module as a goldmine for AI-driven refactoring and modernization.

--You want to work in an environment where your "AI hacks" and custom automation scripts are celebrated as your greatest contribution, not hidden as "side projects"

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