Key Responsibilities

Core Engineering & Testing

- Design and implement scalable, maintainable automation frameworks for API and backend systems.
- Own end-to-end test strategy across functional, system, and integration layers.
- Build robust API automation suites using Java (Rest Assured/Karate) and modern tooling.
- Collaborate closely with developers, product managers, and DevOps teams in an agile environment to ensure high-quality releases.
- Design and validate AI-generated test cases for APIs, including authentication flows, request chaining, and error handling.
- Build and maintain QA agentic systems capable of:
- Auto-generating test cases from requirements
- Detecting coverage gaps across services
- Suggesting missing edge cases and negative scenarios
- Test AI-based applications (LLMs, copilots, intelligent services) for correctness, hallucination risks, and robustness across edge cases.
- Define testing strategies for non-deterministic systems, including:
- Prompt evaluation frameworks
- Response validation heuristics
- Dataset-driven testing

Quality Intelligence & Platform Thinking

- Build tools that provide real-time visibility into test coverage, risk areas, and defect patterns.
- Leverage AI/ML techniques for:
- Defect clustering and root cause analysis




- Test optimization and prioritization
- Contribute to internal QA platforms such as API coverage mapping and intelligent test generation systems.

Mandatory Skills & Requirements

- 5–8 years of experience in API testing and automation.
- Robust programming skills in Java (preferred) or Python/Golang.
- Hands-on experience with API automation frameworks such as Rest Assured, Karate, or similar tools.
- Strong understanding of REST APIs, microservices architecture, request/response validation, and authentication flows.
- Experience in test planning, strategy, and execution across multiple system layers.
- Ability to analyze logs, debug failures, and collaborate with stakeholders for issue resolution.
- Practical exposure to AI tools for test generation, with the ability to refine and productionize outputs.
- Minimum 1 year of hands-on experience in AI projects involving RAG Models, Multi-Agent Systems, or Generative AI is mandatory.
- Candidates should currently be working with Product-based companies only.

Skills:- Java, Rest Assured, Karate, API, Large Language Models (LLM) tuning, Generative AI and Artificial Intelligence (AI)

📌 QA Engineer (Gurugram)
🏢 Talentojcom
📍 Gurugram