About the role
Help us push the boundaries of what AI can do for legal research. You will work on NLP models trained on Indian legal corpus, building systems that understand legal language with unprecedented accuracy.
What you will do
Responsibilities.
- ¶ 01 Develop and fine-tune NLP models for legal text analysis.
- ¶ 02 Build retrieval-augmented generation (RAG) systems for legal research.
- ¶ 03 Optimize model performance for production workloads.
- ¶ 04 Research and implement state-of-the-art techniques in legal AI.
- ¶ 05 Collaborate with the engineering team on model deployment and scaling.
What you will bring
Requirements.
- ¶ 01 3+ years of experience in ML / NLP engineering.
- ¶ 02 Strong Python skills and experience with PyTorch or TensorFlow.
- ¶ 03 Experience with large language models and RAG architectures.
- ¶ 04 Understanding of information retrieval and search systems.
- ¶ 05 Published research in NLP or related fields is a plus.
How to apply
Interested? We would like to hear from you.
Tell us about your experience, share your resume, and a short note on why this role — and what you want to build. We read every application.