Description

You will build and integrate Generative AI applications.

Responsibilities

• Implement practical solutions demonstrating Retrieval-Augmented Generation (RAG) use cases.
• Develop GenAI applications utilizing FastAPI integrations.
• Contribute to coding and testing support for AI/ML workflows.
• Apply optimization techniques like Caching and Chunking for dataset management.
• Address memory usage considerations within AI/ML pipelines.

Required Skills

• 5+ years of experience in development.
• Hands-on experience with SQL and Textract APIs.
• Proficiency with LLM APIs, specifically OpenAI, Azure, and Anthropic.
• Familiarity with AWS and Databricks cloud environments.
• Strong understanding of prompt engineering, including injection mitigation.
• Knowledge of LangChain frameworks.
• Ability to articulate specific SQL engines and Textract API implementations used.
• Understanding of metadata filtering and large/multimodal dataset handling.

Key Skills

Education

Any Gradute