Description

You will develop, fine-tune, and integrate Large Language Models into enterprise applications.

This role is on-site.

Responsibilities

• Develop and fine-tune LLMs for production use cases.
• Build and optimize RAG pipelines using Langchain or LlamaIndex.
• Integrate GenAI capabilities into enterprise applications via microservices.
• Collaborate with cross-functional teams on AI-driven features.

Required Skills

• 5+ years of experience in data science or related fields.
• Proficiency in Python coding.
• Hands-on experience with LLMs including OpenAI, LLaMA, and HuggingFace.
• Experience building RAG frameworks using Langchain or LlamaIndex.
• Experience with microservices using FastAPI.
• Working knowledge of PyTorch or TensorFlow.
• Experience with vector databases such as FAISS, Weaviate, or Pinecone.
• Experience with cloud platforms including AWS, GCP, or Azure.
• Strong prompt engineering skills.

Preferred Skills

• Experience with troubleshooting and analytical problem-solving in AI environments.

Key Skills

Education

Any Graduate