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

Advantages & Culture

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

📌 Principal Ai / Llm Research Engineer Bengaluru
🏢 nexus technologies
📍 Bengaluru