Artificial Intelligence Engineer

Role: AI Engineer Location: Charlotte, NC 28282 / Dallas, TX 75202 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.