AI Engineer 3
Rippling · Bengaluru
- Experience6–9 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelsenior
- Posted2 Sept 2026
About Rippling
Rippling is hiring in Bengaluru in technology software. This role looks for around 6+ years of experience.
Skills
- Python
- PyTorch
- TensorFlow
- Hugging Face Transformers
- PEFT
- LoRA
- QLoRA
- model fine-tuning
- transformer architectures
- attention mechanisms
- embeddings
- tokenization
- open-source LLMs
- retrieval-augmented generation
- vector databases
- LangChain
- LangGraph
- LlamaIndex
- AWS
- Azure
- Google Cloud Platform
- Docker
- Kubernetes
- CI/CD
- SQL
- NoSQL databases
- data processing frameworks
- natural language processing
The role
An AI engineer at a software product company builds NLP and LLM systems using machine learning, transformer architectures, and retrieval-augmented generation, applying Python and PyTorch to fine-tune open-source models and deploy production AI applications.
Full job description
Requirements:
Bachelor's or master's degree in computer science, artificial intelligence, machine learning, or a related field.
5-8+ years of software engineering or machine learning experience, including at least 3 years focused on NLP and LLMs.
Strong programming skills in Python.
Experience with PyTorch and/or TensorFlow.
Hands-on experience with Hugging Face Transformers, PEFT, LoRA, QLoRA, and model fine-tuning techniques.
Strong understanding of transformer architectures, attention mechanisms, embeddings, and tokenization.
Experience working with open-source LLMs such as Llama, Mistral, Qwen, Gemma, or similar models.
Experience building RAG applications using vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS.
Familiarity with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
Knowledge of Docker, Kubernetes, CI/CD pipelines, and ML deployment practices.
Experience with SQL, NoSQL databases, and data processing frameworks.