Agentic AI Engineer

Working with a forward-thinking technology company at the forefront of AI innovation, you will have the opportunity to build cutting-edge intelligent agents and enterprise-scale integrations.

The Role

• Develop production-grade AI agents leveraging Claude, Snowflake data outputs, and MCP/DMCP protocol integrations.
• Design agent workflows that effectively consume Slack semantic models and Salesforce chat outputs.
• Implement robust retrieval, context assembly, and agent orchestration pipelines.
• Build and maintain MCP and DMCP protocol integrations for seamless system communication.
• Ingest and model Salesforce customer chat data into Snowflake, creating semantic layers and agent-ready datasets.
• Establish development and production environments for agent workloads, ensuring security and observability.

What You’ll Need

• Proven hands-on experience as an Agentic AI Engineer.
• Strong expertise in DMCP and MCP protocols, Snowflake, and Claude.
• Experience with designing semantic models for various data sources.
• Proficiency in building secure, production-grade enterprise integrations.
• Ability to implement RBAC, secrets management, monitoring, logging, and observability.
• Strong understanding of data engineering principles, including ELT/ETL pipelines using Snowflake features or dbt.

What’s On Offer

• Opportunity to work on innovative, end-to-end AI agent development.
• Engage with cutting-edge technologies like Snowflake, Claude, and advanced protocols.
• Contribute to building scalable and secure AI infrastructure.
• Remote work flexibility within the United States.

Apply via Haystack today!