Key Responsibilities

• Develop and implement Generative AI applications using modern frameworks and tools.
• Build REST APIs and backend services using Python frameworks such as FastAPI or Flask.
• Integrate LLMs and GenAI frameworks such as LangChain, LlamaIndex, or Haystack.
• Work with data processing and analysis using Pandas and NumPy.
• Assist in designing prompt engineering and RAG-based AI solutions.
• Collaborate with cross-functional teams to understand requirements and implement AI-driven features.
• Participate in testing, debugging, and improving AI model performance.
• Stay updated with the latest advancements in Generative AI and machine learning technologies.

Required Skills

• Strong knowledge of Python programming.
• Understanding of Object-Oriented Programming (OOP) and asynchronous programming.
• Experience building REST APIs.
• Familiarity with FastAPI or Flask.
• Knowledge of data manipulation libraries such as Pandas and NumPy.
• Basic understanding of Machine Learning concepts.

Preferred Skills

• Experience with GenAI frameworks such as LangChain, LlamaIndex, Haystack, or Semantic Kernel.
• Exposure to Snowflake Cortex or other AI platforms.
• Familiarity with TensorFlow or PyTorch.
• Understanding of LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• At least 6 months internship or project experience in AI/ML or Generative AI.