AI Engineer

Persistent; Charlotte (NC); Hybrid; USD 110,000 - 190,000; Full time

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 is hiring an AI Engineer to build production-grade, agentic AI solutions in a hybrid environment in Charlotte, North Carolina. In this role, you will design and integrate AI agents with enterprise systems to strengthen automation capabilities, with an emphasis on reliability, performance, and production stabilization.

What you’ll do

• Design and develop production-grade Agentic AI solutions using Python and Google ADK.
• Build reusable components including agents, tools, prompts, context-management, and orchestration workflows.
• Translate business and process requirements into scalable automation solutions.
• Integrate agents with Systems of Record (SORs), REST APIs, databases, and legacy banking systems.
• Support quality and delivery through unit testing, code reviews, technical UAT, debugging, and production deployment.
• Troubleshoot and tune agent behavior, prompts, context, integrations, and workflows to improve accuracy and reliability.
• Develop reusable patterns and components, and help with production stabilization.
• Collaborate with Product Owners, SMEs, SOR Engineers, and platform teams, providing technical guidance and documentation.

What you bring

• 4–9 years of software development experience with strong Python skills.
• Hands-on experience in Agentic AI and GenAI application development.
• Experience with Google ADK or a comparable agent framework.
• Strong understanding of Prompt Engineering and Context Engineering.
• Experience with agent/tool orchestration and workflow design.
• Strong knowledge of REST APIs, JSON, authentication, SQL/databases, and enterprise integrations.
• Solid engineering fundamentals including Git, unit testing, debugging, exception handling, and root-cause analysis.
• Experience with technical UAT and production troubleshooting.
• Excellent communication, stakeholder management, and problem-solving skills.

Technologies

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

Benefits

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Preferred skills

• Experience with LangGraph and LangChain
• Familiarity with banking/SOR systems
• Knowledge of LexisNexis and Devin
• Experience with CI/CD and QA automation