Description

Design and deploy generative AI systems using LLMs, NLP, and RAG architectures.

This role is remote.

Responsibilities

• Build and optimize GenAI applications using Python, LangChain, and LlamaIndex.
• Implement RAG pipelines with vector databases like FAISS, Pinecone, Chroma, or Weaviate.
• Develop and serve APIs using FastAPI or Flask with REST standards.
• Containerize and orchestrate models using Docker and Kubernetes on Azure, AWS, or GCP.
• Manage model lifecycle and experiments with MLflow.

Required Skills

• 15+ years of experience in software engineering or ML roles.
• Deep expertise in Python, LLMs, and NLP.
• Hands-on experience with Hugging Face Transformers and PyTorch/TensorFlow.
• Proficiency with LangChain or LlamaIndex for application development.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Strong knowledge of Docker and Kubernetes orchestration.
• Ability to design and implement REST APIs.

Preferred Skills

• Experience with MLflow for model tracking and deployment.
• Background in Any Graduate degree in Computer Science or related field.

Key Skills

Education

Any Gradute