The demand for Generative AI in quality assurance is exploding as companies race to automate testing at scale. This niche blends deep AI research with hands‑on test automation, making it a high‑impact, future‑proof career move. The role offers a rare chance to design agent‑based AI systems that directly boost testing efficiency and ROI.

Job Summary

We are seeking a Gen AI Consultant (C2C) located in Illinois to design, build, and deploy generative‑AI‑driven QA solutions. You will create automated test‑case generators, intelligent defect‑prediction models, and multi‑agent orchestration frameworks that enable self‑healing test execution. The position requires 8+ years of .NET/Core development, extensive React experience, and proven AI/ML expertise applied to test automation.

Top 3 Critical Skills Table

Interview Preparation

1. How would you design a prompt‑engineered LLM to generate test cases from user stories?
   What the interviewer is looking for: Understanding of prompt design, mapping requirements to test steps, and evaluation metrics.
2. Explain the architecture of a multi‑agent system for autonomous test execution.
   What the interviewer is looking for: Knowledge of planner, executor, validator agents, communication protocols, and fault tolerance.
3. What strategies would you use to fine‑tune a large language model for defect prediction?
   What the interviewer is looking for: Data preparation, transfer learning, evaluation (precision/recall), and deployment pipelines.
4. Describe how you would modernize a legacy ASP.NET Web Forms app to .NET Core with React while integrating AI test modules.
   What the interviewer is looking for: Migration steps, API design, UI refactor, and AI integration points.
5. How do you ensure security, performance, and scalability in AI‑enhanced test automation pipelines?
   What the interviewer is looking for: Threat modeling, load testing, caching, and resource isolation.

Resume Optimization

• Generative AI
• Test Automation
• Multi‑agent Orchestration
• .NET Core
• C#
• ReactJS
• Large Language Models (LLM)
• QA/Quality Assurance
• Automated Test Case Generation
• AI‑Driven Defect Prediction

Application Strategy

When emailing the recruiter, start with a brief greeting, attach your up‑to‑date resume, and clearly reference the position. Make sure to highlight your top skills—such as Generative AI, .NET Core development, and Test Automation—by linking them to specific projects where you delivered measurable results. Mention any experience you have with LLM fine‑tuning, multi‑agent systems, and modernizing legacy applications, as these map directly to the JD.

Career Roadmap