Agentic AI Engineer
HaystackAbout the role
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!
Responsibilities
- 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
Qualifications
- 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
Benefits
- 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
Skills mentioned
About Haystack
Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview. We're trusted by over 400,000+ tech candidates, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.