Data Scientist/AI Engineer
• NO 3rd Parties or Sponsorship!
Role Title: Senior Data Scientist / AI Engineer
Duration: 1 year contract to hire
Preferred Location: Remote
Role Description:
We're looking for a Senior Data Scientist with strong hands-on experience in GenAI agent development and modern AI engineering. This role focuses on building production-grade agents, MCP integrations, and enterprise knowledge systems using our cloud and data stack.
• Build and refine GenAI agents that interact with internal systems
• Develop MCP tools and secure integrations
• Create and maintain knowledge bases and retrieval pipelines
• Implement agent evaluation frameworks and guardrails
• Work across Azure, Snowflake, and Databricks to support production AI systems
Requirements:
• 5+ years overall experience as a Data Scientist
• Experience building and deploying GenAI agents (including open-source LLM agents) in production environments
• Strong knowledge of MCP, tool integrations, and agent orchestration
• Ability to design and maintain knowledge bases, vector search, and retrieval systems
• Hands-on experience with vibe coding for rapid GenAI prototyping
• Cloud expertise in Azure (preferred) or AWS
• Strong SQL skills and experience with Snowflake
• Experience working with Databricks for data and ML workflows
• Solid background in traditional ML (classification, clustering, etc.)
• Ability to build evals, guardrails, and safety layers for agents at scale
• Experience with MLOps and LLM Observability
Apply tot his job
Apply To this Job
Role Title: Senior Data Scientist / AI Engineer
Duration: 1 year contract to hire
Preferred Location: Remote
Role Description:
We're looking for a Senior Data Scientist with strong hands-on experience in GenAI agent development and modern AI engineering. This role focuses on building production-grade agents, MCP integrations, and enterprise knowledge systems using our cloud and data stack.
• Build and refine GenAI agents that interact with internal systems
• Develop MCP tools and secure integrations
• Create and maintain knowledge bases and retrieval pipelines
• Implement agent evaluation frameworks and guardrails
• Work across Azure, Snowflake, and Databricks to support production AI systems
Requirements:
• 5+ years overall experience as a Data Scientist
• Experience building and deploying GenAI agents (including open-source LLM agents) in production environments
• Strong knowledge of MCP, tool integrations, and agent orchestration
• Ability to design and maintain knowledge bases, vector search, and retrieval systems
• Hands-on experience with vibe coding for rapid GenAI prototyping
• Cloud expertise in Azure (preferred) or AWS
• Strong SQL skills and experience with Snowflake
• Experience working with Databricks for data and ML workflows
• Solid background in traditional ML (classification, clustering, etc.)
• Ability to build evals, guardrails, and safety layers for agents at scale
• Experience with MLOps and LLM Observability
Apply tot his job
Apply To this Job