The Future of QA — Testing AI Models, Agentic Apps & the Skills in Demand for 2025–2026

The Future of QA — Testing AI Models, Agentic Apps & the Skills in Demand for 2025–2026

The Future of QA — Testing AI Models, Agentic Apps & the Skills in Demand for 2025–2026

📆

4th December

📍

Online, Zoom

9.00 AM PST

🕙

📆

4th December

4th December

📍

Online, Zoom

🕙

9.00 AM PST

9.00 AM PST

AI is rewriting the rules of quality engineering — and the market is moving fast. In 2025–2026, companies will be hiring not just QA and SDETs, but AI Test Engineers — professionals who understand how to validate LLMs, agentic apps, and autonomous systems that don’t always behave the same way twice.

AI is rewriting the rules of quality engineering — and the market is moving fast. In 2025–2026, companies will be hiring not just QA and SDETs, but AI Test Engineers — professionals who understand how to validate LLMs, agentic apps, and autonomous systems that don’t always behave the same way twice.


Join us for an eye-opening session where we’ll explore how testing AI systems differs from traditional QA, what skills are becoming must-haves, and how you can transition your QA expertise into the new generation of AI product teams.

Webinar Agenda

1️⃣ Current Market Demand

Live walk-through of real job descriptions from top companies who hire for AI Quality Engineers and Architects.

What skills are being hired for now — and what’s coming by 2026.

2️⃣ Traditional vs. AI Testing

Deterministic vs. Non-deterministic systems — why AI doesn’t behave predictably.

How to rethink test design, coverage, and evaluation for LLMs.

3️⃣ Live Demos & Techniques

Testing commercial AI models: (ChatGPT, Claude, Gemini, etc.) using Promptfoo tool

Red Teaming AI — exposing vulnerabilities, bias, and unsafe outputs.
LLMs Testing LLMs — how AI can generate, run, and validate its own test scenarios.
Cost & Performance Evaluation — techniques to measure latency, token efficiency, and model trade-offs.


4️⃣ The Future of QA

Why many QA engineers will soon find themselves embedded directly in AI product teams.

How to position yourself as an AI Test Engineer or AI QA Lead.

Webinar Agenda

1️⃣ Current Market Demand

Live walk-through of real job descriptions from top companies who hire for AI Quality Engineers and Architects.

What skills are being hired for now — and what’s coming by 2026.

2️⃣ Traditional vs. AI Testing

Deterministic vs. Non-deterministic systems — why AI doesn’t behave predictably.

How to rethink test design, coverage, and evaluation for LLMs.

3️⃣ Live Demos & Techniques

Testing commercial AI models: (ChatGPT, Claude, Gemini, etc.) using Promptfoo tool

Red Teaming AI — exposing vulnerabilities, bias, and unsafe outputs.
LLMs Testing LLMs — how AI can generate, run, and validate its own test scenarios.
Cost & Performance Evaluation — techniques to measure latency, token efficiency, and model trade-offs.


4️⃣ The Future of QA

Why many QA engineers will soon find themselves embedded directly in AI product teams.

How to position yourself as an AI Test Engineer or AI QA Lead.

Webinar Agenda

1️⃣ Current Market Demand

Live walk-through of real job descriptions from top companies who hire for AI Quality Engineers and Architects.

What skills are being hired for now — and what’s coming by 2026.

2️⃣ Traditional vs. AI Testing

Deterministic vs. Non-deterministic systems — why AI doesn’t behave predictably.

How to rethink test design, coverage, and evaluation for LLMs.

3️⃣ Live Demos & Techniques

Testing commercial AI models: (ChatGPT, Claude, Gemini, etc.) using Promptfoo tool

Red Teaming AI — exposing vulnerabilities, bias, and unsafe outputs.
LLMs Testing LLMs — how AI can generate, run, and validate its own test scenarios.
Cost & Performance Evaluation — techniques to measure latency, token efficiency, and model trade-offs.


4️⃣ The Future of QA

Why many QA engineers will soon find themselves embedded directly in AI product teams.

How to position yourself as an AI Test Engineer or AI QA Lead.

Who Should Attend?

01

QA Engineers, SDETs, and Test Leads ready to upskill for the AI era.

02

Automation experts are curious about testing non-deterministic AI systems.

03

Tech professionals looking to future-proof their careers as AI reshapes quality engineering.

Who Should Attend?

01

QA Engineers, SDETs, and Test Leads ready to upskill for the AI era.

02

Automation experts are curious about testing non-deterministic AI systems.

03

Tech professionals looking to future-proof their careers as AI reshapes quality engineering.

Who Should Attend?

01

QA Engineers, SDETs, and Test Leads ready to upskill for the AI era.

02

Automation experts are curious about testing non-deterministic AI systems.

03

Tech professionals looking to future-proof their careers as AI reshapes quality engineering.

Why You’ll Love This Session?


Why You’ll Love This Session?


Why You’ll Love This Session?


Get practical deep dive into the tools, techniques, and mindset shifts defining the next chapter of testing.

You're a manual QA with 3+ years of experience.

Get clarity on how to adapt, stay relevant, and lead in the era of AI-powered products.

Instructors

Instructors

Igor Dorovskikh

Igor Dorovskikh

Igor is an Veteran test automation leader who has built QA solutions for Apple, Grammarly, and Tinder. Igor now leads the AI Career Accelerator, helping QA and SDET engineers master LLM testing, AI model evaluation, and prompt validation.

Amanda Curtis

Amanda Curtis

Amanda Curtis is a QA leader and founder of Lemonade Tech, with a passion for responsible AI adoption and helping teams cut through tech overwhelm. With 10+ years experience leading QA teams and modernizing testing practices, Amanda focuses on practical solutions that improve software quality while keeping technology approachable and human-centered. Helping organizations “find the good in tech” by cutting through complexity and focusing on what truly adds value.

Jaime Mantilla

Seasoned IT professional with 14+ years of experience in Software Engineering, Quality Assurance, and Automation. Skilled in leading teams, designing test strategies, and building automation frameworks across diverse industries. Adept at leveraging modern tools, AI-driven testing approaches, and cloud technologies to deliver high-quality, scalable solutions. Holds a Bachelor’s in Management Information Systems and a Master’s in Information Technology with proven success supporting enterprise-level clients and Fortune 500 companies.

© 2025 Engenious Inc. (c) All rights reserved

© 2025 Engenious Inc. (c) All rights reserved

+1 234 234 23 23

university@engenious.io

© 2025 Engenious Inc. (c) All rights reserved

+1 234 234 23 23

university@engenious.io