Overview
Quality Assurance Engineer Jobs in Greater Bengaluru Area at LTM
Title: Quality Assurance Engineer
Company: LTM
Location: Greater Bengaluru Area
LTM is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socioeconomic status, disability or any other characteristic protected by applicable law.
We are Hiring for Full Stack AI Assurance Engineer
Experience: 5 to 9 Years
Location: Pan India
Job Title Full Stack AI Assurance Engineer
Job Summary
Top skills-Python Programming, Advance Machine Learning, Libraries NLP Data
Classification Model Classification Prompt Engineering API RAG LLM Evaluation
Metrics RAGAS or any equivalent Lang Chain Hugging Face CI CD
About the Role
We are seeking a dynamic Full Stack AI Assurance Engineer to design develop the
test cases with data sets for LLM Evaluation using AI Trust Assure framework and test
AILLM evaluations and recommendations The ideal candidate will have a strong
foundation in AIML concepts Python programming and RAGAS any equivalent
frameworks along with handson experience in prompt engineering and models
classification data classification
Key Responsibilities
Identify and analyse the Data preparations for Model Evaluation specific to AIML
systems including ethical legal safety security and operational risks and
Evaluate potential for bias unfairness lack of transparency and robustness etc
Evaluate and monitor data pipelines to ensure high data quality integrity and
representativeness for AIML models
Develop and execute validation plans for AIML models including performance
robustness fairness and security testing
Implement tools and practices to enhance the interpretability and transparency
of AI models and outcomes
Assess AI systems for ethical and fairness considerations and implement or
recommend mitigation strategies as needed
Set up and manage monitoring systems for AI models in production identifying
and addressing drifts anomalies or policy violations
Work closely with data scientists ML engineers compliance teams and
business stakeholders to embed assurance practices throughout the AI lifecycle
Contribute to the development and continuous improvement of AI governance
frameworks and best practices
Perform code reviews debugging and continuous improvement of automation
pipelines
Stay updated on emerging trends in AI ML and DL for AI Assurance
Required Skills
1 Bachelors or Masters degree in Computer Science Data Science Engineering
or a related field
2 5-8 years of experience in AIML data science software quality assurance or a
related domain
3 Hands on Exp in vibe coding such as Copilot Crewai Claude code
4 Strong understanding of AIML concepts model classification and lifecycle
5 Experience with risk management testing validation and monitoring of AI
systems
6 Experience with data quality assessment bias detection and fairness evaluation
tools
7 Familiarity with explainable AI XAI techniques and tools
Additional Skills
Experience with Prompt Engineering LLM APIs and chatbot integration
Knowledge of regulatory frameworks and standards for AI eg EU AI Act
ISOIEC standards
Knowledge of cloud environments AWS Azure or GCP
Excellent analytical problem-solving and documentation skills
Strong analytical debugging and communication skills
Skills
Mandatory Skills : AI/GenAI Research
Good to Have Skills : AI/ML Awareness Testing, AI/ML Testing
Regards
Arun Prabhakaran
