Applied AI Research Engineer

📋 Description

• Build reinforcement learning and agent environments for real-world AI use cases, including defining
• Develop benchmarks and evaluation harnesses to assess model and data quality across dimensions such
• Design and implement LLM pipelines and agentic systems that support research initiatives, model
• Conduct fine-tuning, adapter, and other model experiments to understand how different datasets
• Deploy local and self-hosted models for evaluation, inference, experimentation, and automation
• Document experiments, configurations, datasets, results, methodologies, and known limitations

🎯 Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Machine Learning, or a related
• At least 3 years of professional engineering or relevant industry experience in AI/ML, software
• Strong software engineering capabilities with demonstrated experience building reliable
• Hands-on experience developing agentic systems, reinforcement learning environments, LLM pipelines
• Proven experience creating evaluation harnesses, benchmarks, model-testing pipelines, or other
• Strong understanding of experimentation, reproducibility, evaluation methodologies, and technical

🎁 Benefits

• Permanent, regular full-time position with a remote working arrangement in India.
• High degree of autonomy and ownership over applied AI research and engineering projects.
• Opportunity to work on advanced AI challenges spanning reinforcement learning, agentic systems
• Exposure to practical research applications supporting both advanced AI initiatives and real-world
• Opportunity to collaborate closely with AI research and cross-functional technical teams.
• Environment that values curiosity, accountability, innovation, collaboration, and continuous