AI Engineer
RIVAGO INFOTECH INC.
Dallas, TX, United States
7 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
Artificial Intelligence
User Authentication
Automation of Tests
Unit Testing
Code Review
Databases
Continuous Integration
Software Debugging
JSON
Python (Programming Language)
Software Deployment
+10 more
Software Engineering
SQL Databases
Systems Integration
Workflow Management Systems
Lexis
LangChain
Prompt Engineering
Agentic-AI
Git
Restful APIs
Job description
- 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.
Requirements
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, * 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.
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