Job Title: AI Engineer Data Evaluation & Conversational Intelligence
Location: Remote / Hybrid
Employment Type: Full-Time
Job Summary:
We are looking for an innovative AI Engineer with expertise in LLMs, data analysis, and conversational AI to drive AI-powered data evaluations and insight generation. The ideal candidate will have experience working with Power BI, ZenAI, and Snowflake, and will leverage agentic AI techniques, graph-based models, and auto-generation frameworks to extract, interpret, and interact with enterprise data.
Key Responsibilities:
- Develop and deploy AI-driven data evaluation pipelines using Python, SQL, and ZenAI.
- Build intelligent conversational agents that interact with data models and surface insights from Snowflake.
- Use LLMs and graph-based reasoning to uncover patterns, anomalies, and recommendations.
- Create dynamic visualizations in Power BI that reflect real-time AI-generated insights.
- Apply agentic AI to automate business logic, decision trees, and knowledge synthesis.
- Implement auto-generation of reports, summaries, and recommendations based on structured and unstructured data.
- Collaborate with stakeholders to understand data evaluation needs and translate them into scalable AI solutions.
Required Skills:
- 1+ year of hands-on experience with Large Language Models (LLMs) and natural language processing.
- Proficient in Python, SQL, and at least one framework such as PyTorch or JAX.
- Solid understanding of Power BI for insight visualization and reporting.
- Experience with ZenAI or similar platforms for advanced AI analytics.
- Familiarity with Snowflake and cloud-based data ecosystems.
- Working knowledge of graph-based algorithms and agentic AI design.
- Strong analytical mindset and problem-solving abilities.
Preferred Qualifications:
- Experience in building AI-driven evaluation tools or insight engines.
- Exposure to knowledge graphs, semantic querying, or vector databases.
- Familiarity with reinforcement learning or real-time model adaptation techniques.
