AI Engineer Jobs in India
Rex.zone
full-remoteseniorpermanentbackenddata United States Today via LinkedIn
62,400 - 104,000 USD/annual
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PythonNLPLarge Language ModelsComputer VisionRLHFPrompt EngineeringMLOpsCI/CDModel MonitoringEvaluation & Error Analysis
About the role
Role Overview
Remote full-time AI Engineer at Rex.zone. You’ll build, evaluate, and deploy production AI systems across NLP/LLMs and computer vision, improving data quality and shipping reliable model-backed services.
Responsibilities
- Build and maintain ML/LLM components for NLP and computer vision workflows
- Design evaluation harnesses for:
- LLM evaluation (incl. QA evaluation)
- Content safety labeling
- Collaborate with data labeling teams on:
- Taxonomy design
- Edge-case mining
- Training data quality audits
- Implement RLHF workflows where applicable, including:
- Preference data collection logic
- Reward modeling integrations
- Create and maintain:
- Prompt libraries
- Prompt evaluation suites
- Regression tests
- Deploy models via APIs and batch pipelines
- Add observability, perform post-deploy error analysis
- Document experiment results, data provenance, and model limitations for stakeholders
Required Qualifications
- Mid-to-senior experience delivering ML systems end-to-end
- Strong Python and practical ML engineering skills
- Experience with NLP, LLMs, or computer vision
- Familiarity with evaluation methods, error analysis, and dataset quality control
- Ability to collaborate across engineering, product, data ops, and QA
Preferred Qualifications
- Experience with RLHF, preference data, or prompt evaluation at scale
- Experience with data labeling operations, annotation tooling, and QA evaluation processes
- MLOps experience, including CI/CD for ML and model monitoring
Remote Work
Remote role supporting distributed teams across time zones using async updates and structured evaluation reports.
About Rex.zone
Rex.zone offers remote, full-time roles focused on building and operating production AI systems. The company works across NLP, LLMs, and computer vision, emphasizing evaluation, deployment, and reliable model-backed services with monitoring.
Scraped 6/14/2026