Engineering Intern AI-Driven Test Automation at ST Engineering iDirect

Herndon, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic Ai, ReAct Agents, Context Engineering, Python, Playwright, Test Automation, NMS API, UI Testing, Failure Diagnosis, Self-Correction, LangGraph, Pydantic, Deep Agent Architectures, BDD Testing Frameworks, Allure Reports, Kubernetes

Industry

Telecommunications

Description

Overview At ST Engineering iDirect, we’re reshaping the future of global connectivity. As a leader in satellite communications, our groundbreaking technology empowers customers to grow, innovate, and transform their networks. Here, your skills and passion meet our vision and expertise to create something extraordinary. If you're ready to tackle technology’s biggest challenges and redefine how the world connects, the most exciting chapter of your career awaits. With ST Engineering iDirect, the sky isn’t the limit—it’s just the beginning! We’re looking for a curious, inventive, and technically sharp intern to help us push the boundaries of automated testing using Agentic AI. This isn’t a “watch and learn” internship — it’s a hands‑on, build‑real‑systems kind of role. You’ll explore how autonomous AI agents can replicate, execute, and self‑heal test cases for our NMS API and UI. By the end of the internship, you’ll deliver a suite of 10+ fully automated NMS test cases managed by an AI agent capable of diagnosing failures, determining whether the issue lies in the script or the test fixture, and fixing it before escalating to the team. In other words: you’ll help us build the future of resilient, intelligent test automation. Responsibilities What You’ll Work On Designing and implementing AI‑driven test automation workflows using Agentic AI (ReAct Agents) Applying context engineering to help agents reason, plan, and adapt Building and maintaining automated test scripts in Python Creating robust UI test flows using Playwright Experimenting with agent‑managed test execution, failure analysis, and self‑correction Demonstrating how autonomous agents can maintain and evolve test suites over time Qualifications Bonus Points For• Familiarity with LangGraph• Experience with Pydantic• Exposure to Deep Agent architectures• Knowledge of BDD testing frameworks• Experience generating Allure reports• Understanding of Kubernetes based applications

Responsibilities

The intern will design and implement AI-driven test automation workflows using Agentic AI (ReAct Agents) to explore how autonomous agents can replicate, execute, and self-heal test cases for the NMS API and UI. A key deliverable is a suite of over 10 automated test cases managed by an AI agent capable of diagnosing and fixing failures before escalation.