AIEngineer is a domain-trained Generative AI platform built for engineers in Oil & Gas, Mining, and heavy industry. It provides technical assistance for engineering design, calculations, standards interpretation, troubleshooting, and operational decision support.

What we are looking for in you:

We are looking for a QA/QC Tester (Oil and Gas Domain AI) to validate the accuracy, reliability, and performance of AIEngineer. The role involves testing AI-generated engineering outputs, validating calculations, verifying adherence to engineering standards, and ensuring system robustness across real-world industrial use cases.

This position requires a strong mix of software QA skills + engineering domain validation.

What will be your role in AIEngineer:

Functional Testing

·      Test AIEngineer features including chat workflows, engineering tools, and document analysis

·      Validate AI responses against engineering standards, codes, and best practices

·      Perform UI/UX testing across web interfaces

·      Develop test cases for engineering workflows (process, mechanical, instrumentation, electrical)

AI Output Validation (Core Responsibility)

·      Verify engineering calculations generated by AI

·      Validate PFD/P&ID logic and engineering reasoning

·      Check compliance with standards (API, ASME, ISO, IEC, etc.)

·      Identify hallucinations, incorrect assumptions, or unsafe recommendations

·      Rate AI responses for accuracy, completeness, and usability

QA/QC Process

·      Develop and maintain test plans and test scenarios

·      Create structured QA validation datasets

·      Execute regression testing for model updates

·      Track bugs and inconsistencies using issue tracking tools

·      Work closely with AI engineers to improve model performance

Performance & Reliability Testing

·      Test system response time and stability

·      Validate multi-turn conversation consistency

·      Test edge cases and ambiguous engineering queries

·      Evaluate robustness for real-world industrial scenarios

Documentation

·      Prepare QA test reports

·      Document known limitations and risk areas

·      Create validation benchmarks for AI performance

·      Maintain QA test libraries

What kind of skilled person we are looking

·      Bachelor’s degree in engineering (Process, Mechanical, Electrical, Instrumentation, or similar)

·      2+ years’ experience in QA testing OR engineering validation

·      Strong understanding of engineering fundamentals

·      Experience writing structured test cases

·      Familiarity with software QA methodologies

·      Strong analytical and problem-solving skills

·      Experience in Oil & Gas / Mining / Industrial projects

·      Experience testing AI/LLM-based applications

·      Knowledge of engineering standards (API, ASME, IEC, ISO)

·      Experience with P&ID, calculations, and datasheets

·      Exposure to Python or automation testing tools

·      Experience with Jira / TestRail / Azure DevOps

Example Test Scenarios You Will Validate (For your understanding only)

·      Pump sizing calculation accuracy

·      PSV sizing logic validation

·      Compressor selection recommendations

·      P&ID interpretation correctness and HMI Graphics output

·      Shift logs and handover report

·      Production reports

·      Control valve sizing outputs

·      Engineering standards interpretation

·      Troubleshooting recommendations

·      Multi-step engineering workflows

What We Offer

·      Work on cutting-edge AI for engineering

·      Work with a fast-growing start-up and patented technologies

·      Exposure to industrial AI applications

·      Flexible remote work

·      Opportunity to shape AI for real-world engineering