Generative AI Engineer

Take2 Consulting, LLC; Alpharetta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Take2 Consulting, LLC is seeking an Agentic AI Engineer to help build AI-powered software testing capabilities across the software lifecycle. You will contribute to a new AI-focused initiative involving agentic workflows and reusable enterprise frameworks.

You will develop agentic AI workflows and applications, integrate AI agents with testing tools and repositories, and support test planning, unit, integration, end-to-end, and performance testing.

Qualifications

• 4-6 years of software engineering or related experience.
• Strong experience with agentic AI, including agentic workflows, knowledge graphs, AI coding agents, and LLM-based applications.
• Ability to contribute effectively to a collaborative, hands-on engineering team.

Responsibilities

• Develop agentic AI workflows and applications.
• Contribute to the development of an AI-powered testing framework.
• Build integrations between AI agents, testing tools, repositories, and enterprise systems.
• Support capabilities such as test plan generation, unit testing, integration testing, end-to-end testing, and performance testing
• Work with architects and engineers to design, develop, test, and improve AI-enabled solutions.
• Contribute to proof-of-concept development and future production implementations.

Skills

Agentic AI

LLM-based applications

Team collaboration

Job description

The Agentic AI Engineer will develop AI-powered software testing framework. Engineers will work as part of a technical team building agentic AI capabilities that support testing across the software development lifecycle.

This is an opportunity to contribute to a new AI-focused initiative involving agentic workflows, AI-powered testing, and reusable enterprise frameworks.

Responsibilities

• Develop agentic AI workflows and applications.
• Contribute to the development of an AI-powered testing framework.
• Build integrations between AI agents, testing tools, repositories, and enterprise systems.
• Support capabilities such as test plan generation, unit testing, integration testing, end-to-end testing, and performance testing
• Work with architects and engineers to design, develop, test, and improve AI-enabled solutions.
• Contribute to proof-of-concept development and future production implementations.

Required Qualifications

• 4-6 years of software engineering or related experience.
• Strong experience with Agentic AI, including areas such as agentic workflows, knowledge graphs, AI coding agents, and LLM-based applications
• Ability to contribute effectively to a collaborative, hands-on engineering team.