Build enterprise-grade LLM fine-tuning pipelines, RAG systems, and semantic evaluation engines for high-precision candidate scoring.

About the Team

We pioneer proprietary AI workflows that eliminate screening bias, parse multi-lingual resumes with 99% precision, and automate recruiter workflows.

Who We Are Looking For

Passionate AI engineers with deep experience in generative models, vector search, embedding models, and production inference optimization.

Key Responsibilities

- Design and deploy scalable RAG pipelines and embedding search with sub-50ms latency.
- Fine-tune small language models (SLMs) and optimize inference cost and latency.
- Build automated evaluation benchmarks to eliminate hallucinations and measure match accuracy.





Requirements & Qualifications

- 5+ years in Python, PyTorch, Hugging Face, vector databases (Qdrant/Pinecone/pgvector).
- Demonstrated experience shipping production LLM systems at scale.
- Solid grounding in linear algebra, probability, and transformer architectures.

Required Skills: Python, PyTorch, LLMs, RAG, Vector DBs, LangChain, MLOps, Transformers

Benefits & Culture

Unlimited GPU cloud compute cluster access, global AI conference sponsorships, comprehensive health cover, flexible hybrid work.

📌 Principal AI / LLM Research Engineer (Bengaluru)
🏢 nexus technologies
📍 Bengaluru