Member of Technical Staff - Applied AI Research

• Finetune models for Indic language performance improving fluency, accuracy, and domain understanding in Hindi, Hinglish, and other Indian languages
• Build and manage finetuning pipelines data curation, training runs, evaluation, and deployment of fine-tuned models
• Work with the team on prompt engineering and context management designing how the model receives and reasons over information across multi-turn conversations
• Design retrieval strategies that get the right domain data to the model at the right time
• Run experiments on model behavior how finetuning, context structures, prompt formulations, and tool designs affect output quality across languages
• Collaborate with Evaluation to measure what actually matters especially for subjective, language-dependent quality
• Stay current with frontier model capabilities and figure out how to exploit new features the day they ship

• Experience with LLM finetuning you've trained or fine-tuned models, managed datasets, and evaluated results
• Understanding of Indic NLP challenges tokenization, code-switching (Hinglish), script diversity, and where current models fail
• Experience with LLMs in production prompt engineering, context management, retrieval-augmented generation
• You understand the difference between a demo and a production system you've fought with context windows, hallucinations, and inconsistent model behavior
• Strong engineering skills you ship code, not just papers. Your research runs in production.
• Experimental rigor you design experiments, control variables, and know when results are significant

• Experience finetuning on Indic language data or multilingual corpora
• Experience with Claude, Gemini, or other frontier model APIs at depth
• Familiarity with our stack: Elixir, TypeScript/Bun, PostgreSQL, NATS
• Published work or substantial projects in applied NLP, multilingual models, or knowledge-grounded generation
• You've read our whitepapers (Realtime Context Engine, Context Splitting) and have thoughts on what we got wrong

About Anuvaya

We think conversational AI agents will deliver all professional services in India. We started with astrology. We're a small group of engineers, designers, and product folks building at the intersection of conversational AI and domain expertise. Making an AI agent sound human-like is hard. Making an AI an expert in a domain is also hard. We're doing both together.

We're backed by Accel, Arkam Ventures, and Weekend Fund.

How we work

We care about craft obsessively. Your work gets questioned, pulled apart, and rebuilt not because we're harsh, but because everyone here holds each other to a standard most places don't bother with. We work out of a hacker house in Vasant Kunj. We strongly encourage everyone to be in office.

If that sounds like the only way you'd want to work let's talk founders@anuvaya.com.