Member of Technical Staff - Applied AI Research

The role

You will bridge the gap between research and production by finetuning models for Indic language performance. You will also build finetuning pipelines and design retrieval strategies to improve model accuracy and fluency.

What you will do

• Finetune models for Indic language performance improving fluency, accuracy, and domain understanding
• Build and manage finetuning pipelines including data curation, training runs, evaluation, and deployment
• Work on prompt engineering and context management for multi-turn conversations
• Design retrieval strategies to provide domain data to the model
• Run experiments on model behavior including finetuning, context structures, prompt formulations, and tool designs
• Collaborate with Evaluation to measure language-dependent quality
• Stay current with frontier model capabilities

Required qualifications

• Experience with LLM finetuning including training or fine-tuning models, managing datasets, and evaluating results
• Understanding of Indic NLP challenges such as tokenization, code-switching, and script diversity
• Experience with LLMs in production including prompt engineering, context management, and retrieval-augmented generation
• Understanding the difference between a demo and a production system
• Strong engineering skills to ship code
• Experimental rigor to design experiments and control variables

Nice to have

• Experience finetuning on Indic language data or multilingual corpora
• Experience with Claude, Gemini, or other frontier model APIs at depth
• Familiarity with Elixir, TypeScript/Bun, PostgreSQL, NATS
• Published work or substantial projects in applied NLP, multilingual models, or knowledge-grounded generation
• Thoughts on the company whitepapers

About the company

Anuvaya is a small group of engineers, designers, and product folks building conversational AI agents at the intersection of conversational AI and domain expertise. They are backed by Accel, Arkam Ventures, and Weekend Fund.