Description

You will design, develop, and deploy advanced AI/ML models and agentic systems using Python.

This role is on-site.

Responsibilities

• Implement AI agentic frameworks for autonomous decision-making systems.
• Develop applications using large language models (LLMs) for text understanding and generation.
• Design prompt engineering techniques to optimize model responses and integration.
• Implement retrieval-augmented generation (RAG) strategies to enhance context and output relevance.
• Manage and optimize vector databases for efficient data storage and retrieval in AI applications.

Required Skills

• 5+ years of proven experience in advanced Python programming, including data structures and algorithms.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Demonstrated expertise in prompt engineering and its application within AI models.
• Experience working with large language models (LLMs), including their architecture and functionalities.
• Knowledge of retrieval-augmented generation (RAG) techniques and vector databases.
• Familiarity with AI agentic frameworks and their implementation in real-world applications.

Preferred Skills

• Experience with TensorFlow, PyTorch, or Hugging Face.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services.

Key Skills

Education

Bachelor's or Master's degrees