AI Quality Engineer (Contract)
EngineeringQuality Engineer
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Quick Summary
Technical Tools
EngineeringQuality Engineer
Responsibilities
~1 min read- →Test and validate AI-generated insights, recommendations, and decision-making workflows.
- →Evaluate LLM and RAG systems for accuracy, relevance, consistency, factuality, and hallucinations.
- →Validate retrieval quality, context relevance, grounding, and response quality in RAG systems.
- →Test AI agents and autonomous workflows across functional, negative, and edge-case scenarios.
- →Define AI evaluation criteria, test datasets, quality metrics, and validation processes.
- →Perform regression testing for models, prompts, RAG configurations, and AI workflows.
- →Collaborate with AI/ML engineers to identify issues and improve AI system quality.
Requirements
~1 min read- Strong understanding of AI/ML and Generative AI testing.
- Hands-on experience testing LLM and RAG-based applications.
- Knowledge of LLM evaluation, hallucination detection, relevance, and response quality.
- Understanding of AI agents and recommendation systems.
- Strong analytical and problem-solving skills.
- Experience with PyTest and automated testing frameworks.
- Experience building automated AI evaluation and regression frameworks.
- Familiarity with tools such as RAGAS, DeepEval, LangSmith, or equivalent.
- Experience with CI/CD-based test automation, performance testing, or AI guardrails.
- Familiarity with cloud platforms (AWS/Azure/GCP) and observability tools.
- High accuracy, relevance, and reliability of AI outputs.
- Strong evaluation coverage across critical AI workflows.
- Early detection and reduction of hallucinations and AI regressions.
- Reduced production AI quality issues.
- Increased confidence and trust in AI-generated insights and recommendations.
Location & Eligibility
Where is the job
Hyderabad, India
On-site at the office
About this job
- Posted
- 73 days ago
Listing Details
- Posted
- August 28, 2026
- First seen
- September 28, 2026
- Last seen
- November 9, 2026
Posting Health
- Days active
- 41
- Repost count
- 0
- Trust Level
- 21%
- Scored at
- November 9, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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