Description

You will build and deploy generative AI solutions using large language models and retrieval-augmented generation (RAG) architectures.

This role is hybrid.

Responsibilities

• Develop and deploy applications utilizing RAG architecture.
• Implement machine learning models using Python and existing ML frameworks.
• Integrate LLM capabilities into cloud-based environments.
• Build and maintain scalable AI workflows.
• Collaborate on the end-to-end lifecycle of generative AI applications.

Required Skills

• 5–8 years of software development experience.
• Strong proficiency in Python.
• Hands-on experience with LLMs and RAG architecture.
• Experience with Hugging Face Transformers.
• Experience with LangChain.
• Experience with FAISS.
• Experience with Scikit-learn.
• Familiarity with Azure, AWS, or GCP.
• Any Graduate degree.

Key Skills

Education

Any Graduate