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Experience: 8+ yrs

Location: India

Job Type: Full-time

We are looking for an experienced and technically robust AI Research & Engineering Leader to work on advanced artificial intelligence initiatives focused on improving the capabilities, reliability, and evaluation of frontier AI models.

The role sits at the intersection of AI research, machine learning engineering, model evaluation, reinforcement learning, agentic systems, coding environments, and enterprise data. You will contribute to building sophisticated environments, evaluation systems, and high-quality data solutions that help advance the capabilities of next-generation AI models.

The ideal candidate combines strong technical depth with the ability to work on ambiguous, research-oriented problems and translate emerging AI concepts into robust, scalable systems.

Requirements

Key Responsibilities
- Lead the design and development of advanced AI research and engineering systems for frontier AI models.




- Build sophisticated reinforcement learning environments for coding, reasoning, tool use, and agentic workflows.
- Design environments that allow AI agents to interact with realistic software systems, tools, APIs, and external resources.
- Develop robust model evaluation frameworks, benchmarks, and test environments to measure AI capabilities and reliability.
- Create automated evaluation pipelines for LLMs, AI agents, coding systems, and reasoning workflows.
- Investigate model behaviour, identify capability gaps, and design experiments to improve performance.
- Develop and manage high-quality datasets, including enterprise and synthetic data, for AI training and evaluation.
- Build scalable infrastructure for experimentation, evaluation, data processing, and AI workflows.
- Develop systems for automated testing, benchmarking, regression detection, and continuous model evaluation.
- Work on agentic

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