Artificial Intelligence Engineer

Rivago Infotech Inc; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Rivago Infotech Inc. seeks an experienced software engineer to lead production-grade Agentic AI development in Charlotte, NC.

You will design, implement, and integrate AI agents, tools, and workflows with banking systems and REST APIs. Candidates should have strong Python skills, GenAI experience, and proficiency in prompt/context engineering, plus hands-on experience with Google ADK and enterprise integrations.

Qualifications

• 6–10 years of software development with strong Python skills.
• Hands-on 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.

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.

Skills

Python

Agentic AI

GenAI

REST APIs

SQL/databases

Prompt Engineering

Context Engineering

Workflow design

Git

Unit testing

Tools

Google ADK

LangGraph

LangChain

CI/CD

QA Automation

Job description

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.