AI Engineer

Role:  AI Engineer 

Location: Charlotte, NC 28282 / Dallas, TX 75202 (100% Onsite from Day 1) 

Skills Required: Python, Google ADK, Agentic AI, Knowledge of Database and SQL

Good to Have: LangGraph, LangChain, Banking/SOR systems, LexisNexis, Devin, CI/CD, QA Automation experience

Key Responsibilities

• Design and develop production-grade Agentic AI solutions using Python and Google ADK.
• Build reusable agents, tools, prompts, context-management and orchestration workflows.
• Translate business/process requirements into scalable automation solutions.
• Integrate agents with SORs, REST APIs, databases and legacy banking systems.
• Perform 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/components and support production stabilization.
• Collaborate with Product Owners, SMEs, SOR Engineers and platform teams; provide technical guidance and documentation.

Mandatory Skills

• 6-10 years of software development experience with strong Python skills.
• Hands-on experience in Agentic AI / GenAI application development.
• Experience with Google ADK or comparable agent frameworks.
• 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.
• Strong 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.