Description

Design and deploy AI-driven solutions, focusing on scalable backend infrastructure and generative AI integration.

This role is on-site.

Responsibilities

• Develop and maintain scalable backend applications using Python, Flask, and FastAPI.
• Design, integrate, and fine-tune Generative AI solutions leveraging LLMs.
• Build and optimize data pipelines using Pandas, NumPy, and SQL.
• Architect and implement APIs to interface applications with GenAI models.
• Implement prompt engineering and build RAG pipelines utilizing vector databases.

Required Skills

• 5+ years of production experience with Python, Flask, and FastAPI.
• Solid expertise in Pandas, NumPy, and SQL for data transformation.
• Hands-on experience with MongoDB and schema design.
• Proven experience working with LLMs (e.g., OpenAI, Hugging Face APIs).
• Strong understanding of NLP tasks (NER, text classification, sentiment analysis).
• Familiarity with AI/ML libraries like SpaCy, Hugging Face Transformers, and LangChain.
• Experience with vector databases for semantic search and retrieval.
• Proficiency in RESTful API development and integration.
• Knowledge of Git, Docker, and CI/CD pipelines.

Key Skills

Education

Any Graduate