Lexsi Labs is a frontier AI research lab focused on building secure, interpretable, and aligned AI systems as capabilities scale toward advanced autonomous intelligence.
Our research operates at the intersection of agent learning, alignment, and interpretability, with the goal of developing the scientific foundations required for trustworthy AI systems.
Key research areas include:
Multi-agent reinforcement learning and agent learning systems for scalable coordination, exploration, and long-horizon learning.
Continual learning and adaptive agents that can evolve safely over time without catastrophic forgetting.
Alignment strategies and behavioral control methods including reward modeling, safety fine-tuning, pruning, and unlearning.
Mechanistic interpretability and model transparency to understand internal representations and reasoning behavior in large models.
Information-theoretic approaches including mutual information and causal analysis to study how knowledge and decisions form inside deep networks.




Foundation models for structured and tabular domains aimed at high-stakes real-world applications.
Open research infrastructure and tooling for alignment experimentation, RL training, and model evaluation.
Open science and global collaboration, with research hubs in Mumbai and Paris and publications in leading venues such as ICML, ACL, IJCNN, and WWW.

Our goal is to advance the science required to ensure that future AI systems remain transparent, controllable, and aligned with human intent.

The Role
As an AI Research Scientist, you will work on fundamental research problems at the frontier of agent learning, reinforcement learning, interpretability, and alignment.
Your work will involve designing recent algorithms, studying the internal behavior of large models, building research systems for experimentation, and contributing to open research that advances the understanding and safety of AI systems.
This role offers the chance to pursue ambitious research ideas whil

📌 Ai Research Scientist Mumbai
🏢 Lexsi Labs
📍 Mumbai