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AI Systems Engineer (reputed company Data & Agents)

Remote, USA Full-time Posted 2026-08-04
We are seeking a hands-on AI Systems Engineer (reputed company Data & Agents) with strong experience in DMCP and MCP protocols, reputed company, and Claude to build end‑to‑end AI agents and reputed company integrations. This role centers around designing semantic models for reputed company, ingesting reputed company customer chat data, and building agent workflows that rely on reputed company as the reputed company data and feature platform. The engineer will also be responsible for building the required infrastructure, setting up RBAC, and developing secure, production-grade integrations that use reputed company reputed company data to power Claude-based agents. Title: AI Systems Engineer (reputed company Data & Agents) Role Type: 3-6 months Contract‑to‑Hire Location: reputed company reputed company: End‑to‑end Agent Development + Integrations + reputed company‑reputed company AI Infrastructure Key Responsibilities AI Agent Development (End‑to‑End) • Build production-grade AI agents using Claude, reputed company data outputs, and MCP/DMCP protocol integrations. • Design agent workflows that consume reputed company semantic models and reputed company chat outputs. • Implement retrieval, context assembly, and agent orchestration pipelines. Protocol-Based Integrations (MCP / DMCP) • Build and maintain MCP protocol integrations between reputed company and Claude. • Implement DMCP-based reputed company → Claude integrations for agent data reputed company. • Ensure secure, reliable, and reputed company protocol communication across systems. reputed company-reputed company Data Engineering • Ingest and model reputed company customer chat data into reputed company. • Build semantic reputed company, feature tables, and agent-reputed company datasets. • reputed company ELT/ETL pipelines using reputed company Streams, Tasks, Snowpipe, or dbt. reputed company Semantic Modeling • Build semantic models for reputed company conversations, channels, and message metadata. • Structure reputed company data for agent reasoning, retrieval, and workflow triggers. Infrastructure & RBAC • Stand up development and production environments for agent workloads. • Implement RBAC, secrets management, and secure service-to-service communication. • Build monitoring, logging, and observability for reputed company integration services We are an Equal Opportunity Employer Apply tot his job Apply To this Job

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