Agentic AI Engineer (Hybrid) — Production-Grade Python

Persistent

Charlotte (NC)

Hybrid

USD 110,000 - 190,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Hybrid work environment
Career development & education support
Annual health check-ups & wellness

Job summary

Persistent in Charlotte, NC is seeking an AI Engineer to design production-grade agentic AI solutions in a hybrid environment. You will integrate AI agents with enterprise systems to strengthen automation, focusing on reliability, performance, and production stabilization.

You will collaborate with Product Owners, SMEs, SOR Engineers, and platform teams, building reusable components and patterns, and guiding QA, UAT, and production deployment to ensure robust operations.

Qualifications

  • 4–9 years of software development experience.
  • Proficient in Python and agentic AI development.
  • Experience with Google ADK or similar agent framework.
  • Strong prompt and context engineering skills.
  • Knowledge of REST APIs, JSON, SQL & enterprise integrations.
  • Production tooling: unit testing, code reviews, UAT, debugging.

Responsibilities

  • Design and build production-grade Agentic AI solutions.
  • Create reusable agents, tools, prompts, and workflows.
  • Translate business needs into scalable automation.
  • Integrate agents with SORs, REST APIs, databases and banking systems.
  • Support quality with unit testing, reviews, UAT, debugging and deployment.
  • Troubleshoot agent behavior and improve accuracy and reliability.
  • Collaborate with Product Owners and engineers; document guidance.

Skills

Python programming
Agentic AI
GenAI development
Prompt engineering
Context engineering
REST APIs
SQL databases
Git version control
Unit testing

Tools

Google ADK
LangGraph
LangChain
CI/CD
QA automation
REST APIs
JSON
SQL
Git

Job description

Persistent in Charlotte, NC is seeking an AI Engineer to design production-grade agentic AI solutions in a hybrid environment. You will integrate AI agents with enterprise systems to strengthen automation, focusing on reliability, performance, and production stabilization.

You will collaborate with Product Owners, SMEs, SOR Engineers, and platform teams, building reusable components and patterns, and guiding QA, UAT, and production deployment to ensure robust operations.

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