HALO is seeking an experienced AI Python Developer to lead the development of intelligent, conversational interfaces powered by generative AI. You’ll be instrumental in building Streamlit applications that serve as intuitive front-ends to a data warehouse chatbot, while also crafting the semantic layers within Snowflake’s Cortex Analyst framework that power its intelligence.
Requirements
- 3+ years of strong proficiency in Python, especially for AI/ML applications.
- Hands-on experience with Streamlit for building data-centric web apps.
- Deep understanding of Snowflake architecture, Cortex Analyst, and semantic modeling principles.
- Familiarity with LLMs and prompt engineering techniques.
- Experience with REST APIs, databases, and embedding models.
- Knowledge of data warehousing concepts, SQL, and enterprise data modeling.
- Prior work with enterprise-grade AI deployments or chatbot platforms.
Responsibilities
- Design and develop interactive Streamlit applications that serve as user interfaces for a generative AI chatbot.
- Integrate conversational AI models with Snowflake data sources to enable natural language querying and insights.
- Ensure responsive, secure, and scalable front-end experiences tailored to business users and analysts.
- Architect and implement semantic models using Snowflake’s Cortex Analyst to enable contextual understanding of enterprise data.
- Define entity relationships, business logic, and metadata mappings that support natural language interactions.
- Fine-tune and deploy generative AI models for contextual Q&A, summarization, and data storytelling.
- Optimize model performance and relevance using feedback loops, embeddings, and prompt engineering.
Other
- Collaborate with data engineers and analysts to align semantic models with business needs and data governance standards.
- Stay current with advancements in LLMs, vector search, and multimodal AI to continuously improve the chatbot experience.
- Background in UX design or conversational UI.
