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HybridSeniorai/ml infra

Quality Assurance Engineer

LTMBengaluru, IndiaPosted 18 May 2026

LTM is hiring a Full Stack AI Assurance Engineer to work in the AI/ML infrastructure domain. The role involves designing test cases for LLM evaluation, monitoring AI models, and ensuring ethical and performance standards using RAGAS and other frameworks. Candidates must have 5-8 years of experience with Python, AI model lifecycles, and model evaluation metrics. This position requires close collaboration with data scientists and compliance teams to enhance AI governance frameworks.

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Experience

5-8 years

Function

Quality Assurance

Work mode

Hybrid, India

Company

Tier 2

What you will work on

LTM is hiring a Full Stack AI Assurance Engineer to work in the AI/ML infrastructure domain. The role involves designing test cases for LLM evaluation, monitoring AI models, and ensuring ethical and performance standards using RAGAS and other frameworks. Candidates must have 5-8 years of experience with Python, AI model lifecycles, and model evaluation metrics. This position requires close collaboration with data scientists and compliance teams to enhance AI governance frameworks.

TAL's take

Quality 55/1005/5 clarityTier 2 company

Mid-tier company with a clearly defined, specialized role in AI assurance and concrete technical requirements.

The JD is highly specific regarding the AI/ML assurance stack, responsibilities, and expected technical proficiency.

Must haves

  • 5-8 years of experience in AIML, data science, or QA
  • Hands-on experience with vibe coding tools
  • Strong understanding of AIML concepts and model lifecycle
  • Experience with AI system risk management, testing, and validation
  • Experience with data quality assessment and bias detection
  • Bachelor's or Master's degree in CS, Data Science, or Engineering

Tools and skills

pythonmachine learningnlpprompt engineeringragragaslangchainhugging faceci/cdcopilotcrewaiclaude code

Nice to have: aws, azure, gcp.

About the company

Unfamiliar company with limited public footprint, default mid-tier assigned.

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