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Remote mid-level AI platform role with generic 'Staff Software Engineer' title increases applicant density moderately.
Specialized ML/AI platform and agent engineering skills limit cross-industry transferability.
Explicit 7+ years plus deep LLM, platform, and production ownership requirements make filtering stringent.
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Own complex technical components of the Analytics MCP platform including routing, orchestration, agent infrastructure, and data warehouse integration.
Lead platform architecture implementation focusing on reliability, scalability, and observability of production-grade systems.
Resolve critical system issues through incident response, root-cause analysis, and architecture-level remediation; mentor and set technical standards for AI Engineering team.
7+ years experience in software, data, or AI platform engineering with production system ownership.
Hands-on expertise in AI and LLM system architecture including agent design, orchestration, and MCP-style interfaces.
Strong skills in backend services programming, APIs, data pipelines, and platform infrastructure.
Work Experience Required: 7+ years
Experienced technical leader comfortable acting as senior technical anchor in fast-moving, ambiguous environments.
Demonstrated ability to make architecture-level recommendations and align leadership on technical direction.
Deep understanding of system integration, production reliability, and security in AI analytics platforms.