Aledade

Aledade

Senior Software Engineer II (AI Enablement)

Remote, United States · Senior

Sponsorship not specifiedDetected 30 days ago
TypeScriptPythonVue.jsNode.jsFastAPIFull-Stack DevelopmentPostgreSQLSnowflakeDatabricksAWSCI/CDDatadogPlatform EngineeringRESTOAuthData VisualizationLLMsComplianceJiraSalesforceHIPAACommunicationCollaboration

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odds of building a lasting career here

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Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Extend the usage-rollup and telemetry pipeline so adoption, tool-call health, and inference spend are attributable by team, workload, and model.
  • Run office hours and brownbags as a practitioner; mentor engineers on agentic-coding and plugin-authorship patterns; triage and dedupe inbound feature requests; carry on-call for marketplace-published artifacts and gateway availability.
  • Extensive use of computers and keyboard.

Responsibilities

  • Aledade's AI Enablement team builds and runs the platform that the rest of Aledade's AI adoption depends on.
  • the MCP Gateway that brokers every tool call between agents and Aledade's systems, the plugin marketplace and installer that distribute agentic capability to engineers and non-engineers alike, the model gateway configuration that determines what Aledade spends on inference and how well it performs, and the telemetry that makes all of it measurable.
  • The model-routing and harness-evaluation work this engineer owns is what distinguishes a diversified, cost-optimized inference strategy from a single-vendor one.

Requirements

  • 5+ years professional software engineering experience.
  • Strong production experience in at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD.
  • Hands-on experience with authentication and authorization for machine-to-machine traffic (OAuth2, OIDC, M2M credentials, token scoping, secret management).
  • Direct hands-on experience with one or more agentic coding tools in a production or near-production setting (Claude Code, Cursor, Cody, Copilot agents, Aider, or equivalent).
  • Experience authoring or maintaining MCP (Model Context Protocol) servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations.
  • Experience running an LLM gateway or inference proxy in production (LiteLLM, Bedrock, vLLM, or similar) - routing, fallback, caching, quota, and cost attribution.
  • Experience operating a package registry, plugin ecosystem, or extension marketplace - publishing pipelines, semantic versioning, compatibility, and deprecation.

Nice to have

  • Extend the agent output and collaboration surface.
  • Enablement and platform stewardship.
  • Run office hours and brownbags as a practitioner
  • mentor engineers on agentic-coding and plugin-authorship patterns
  • triage and dedupe inbound feature requests
  • carry on-call for marketplace-published artifacts and gateway availability.

Company info

  • The AI Enablement Platform Engineer is the engineer accountable for the substrate:
  • This is a platform role with unusually direct business consequences.
  • It is the right role for an engineer who wants platform depth without platform abstraction: real users, real spend, measurable adoption, and a short line between a design decision and its effect.
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This listing is sourced directly from Aledade's careers page and normalized into a canonical job model.