AI Systems QA Engineer

We are building something that does not exist yet.

AdaptaIQ is creating the world’s first adaptive intelligence engine that understands how a mind processes information and reshapes content accordingly.

Our first product, Kidaro, is a science-backed AI platform for parents of children ages 7 to 10. Through a psychologist-designed onboarding journey, we generate a personalized Learning Profile that maps how a child absorbs knowledge, maintains attention, and stays motivated. This becomes the foundation for adaptive reports and eventually dynamic, AI-generated learning experiences.

This is not traditional QA. You will be testing intelligence, not just code.

What You Will Own

You will own product quality across:

• Onboarding interview flows (parent and child)

• AI-generated phenotype reports

• Admin dashboard and backend logic

• Adaptive content logic

• AI output consistency and safety

• Regression testing as models evolve

  
  

You will work closely with our CTO, Head of Applied AI, psychologists, and engineers.

What Makes This Role Different

We need someone who can test:

Responsibilities

• Deterministic code

• Automation frameworks

• APIs and integrations

• AND probabilistic LLM systems

You must be comfortable evaluating AI behavior, including:

• Prompt testing

• Hallucination detection

• Persona drift

• Safety boundary testing

• Bias detection

• AI regression testing after model updates

If you have never tested non-deterministic systems, this role is probably not for you.

Responsibilities

Manual QA

• End-to-end onboarding testing

• Edge case validation

• Report logic and scoring consistency

• UX friction identification

Automation QA

• Build regression suites

• API and integration tests

• Data integrity validation

• Versioning validation

AI QA

• Build evaluation frameworks

• Define measurable output criteria

• Create synthetic personas for stress testing

• Track output stability over time

Requirements

• 4+ years QA experience

• Strong automation background

• Experience testing APIs

• Experience with tools like Postman, Bruno or similar

• Understanding of SQL

• Basic understanding of auth mechanisms (e.g. OAuth, IDP concept)

• Basic experience in software development (e.g. Python, TypeScript, Java)

• Experience with AI or LLM systems is a strong plus

• Strong analytical and documentation skills

• Comfortable in an early-stage startup

• Nice to have: basic experience in AWS

  
  

Bonus if you have experience in EdTech, psychology-driven products, or conversational AI.

We are early, focused, and building with long-term architecture in mind. This is a contractor role with potential for long-term collaboration. If you want to help shape how adaptive intelligence systems are validated, we would love to speak.