Description

You will build and integrate Generative AI applications, focusing on practical RAG use cases and optimization.

This role is on-site.

Responsibilities

• Implement Retrieval-Augmented Generation (RAG) solutions.
• Develop GenAI applications using FastAPI integrations.
• Optimize dataset management via caching and chunking techniques.
• Manage memory usage within AI/ML pipelines.
• Provide coding and testing support for AI/ML workflows.

Required Skills

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

Key Skills

Education

Any Gradute