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AI Engineer - NLP/Generative AI

Rrayze Business Solutions
5 - 8 Years
Multiple Locations

Posted on: 23/10/2026

Job Description

Job Description :

Role : AI Engineer

Company : Webnyay Private Limited

Location : Pune

Experience : 5+ years, with hands-on NLP and Generative AI work

Education : B.E./B.Tech/M.Tech with a specialisation in AI/ML

Core focus : Classification, NLP and GenAI workflows, all self-hosted

Employment type : Full-time On-Site

BYOD : Bring your own device

Working Hours : 9 : 30am-7 : 30pm (Mon-Fri, Saturday is half day and work from home)

Required qualifications and skills :

- B.E./B.Tech/M.Tech with a specialisation in AI/ML, or equivalent.

- 5+ years in ML engineering, including enterprise classification, NLP and Generative AI workflows taken to production.

- Strong Python, with PyTorch and Hugging Face Transformers.

- Hands-on fine-tuning of open-weight LLMs (for example with LoRA or QLoRA) and building retrieval-augmented generation (RAG) pipelines.

- Experience self-hosting models with an inference server such as vLLM, TGI or Ollama, on GPU or CPU.

- Solid grounding in text classification, named entity recognition and summarisation, including evaluation metrics and calibration.

- Experience exposing models as APIs (FastAPI or similar) and packaging them with Docker.

- Understanding of PII handling and data protection in ML systems.

Good to have :

- NLP for Indian languages (Hindi and regional languages), including speech-to-text.

- Experience in BFSI or legal text, team lead.

- MLOps tooling for experiment tracking, model registry and drift monitoring (for example MLflow).

- Experience with vector databases such as pgvector, Qdrant or Milvus.

- Exposure to the DPDP Act 2023, RBI guidance on AI use, or model risk management.

- Published work, open-source contributions or Kaggle results in NLP.

What we offer :

- Ownership of a GenAI system in production at a public sector undertaking.

- A small, senior team where your models ship to production quickly.

- Work at the intersection of GenAI, regulation and consumer protection.

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