Aledade is a national leader empowering primary care organizations with actionable insights to improve patient health and support business sustainability. Backed by Lightspeed and IVP.
About the role
Demonstrated experience instrumenting a system you own; metrics, structured logging, tracing, or usage analytics, and using that data to drive a decision. Experience as an early engineer on a platform whose users are internal colleagues, where adoption has to be earned rather than mandated.
What they're looking for
- BS/BTech (or higher) in Computer Science, Engineering or a related field
- 5+ years professional software engineering experience
- Production ownership of a backend service or developer platform. API gateway, service proxy, SDK/CLI, internal developer platform, or comparable, including its auth model, release process, and operational health
- 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)
- Demonstrated experience instrumenting a system you own, metrics, structured logging, tracing, or usage analytics, and using that data to drive a decision
More about this role
Aledade's AI Enablement team builds and runs the platform that the rest of Aledade's AI adoption depends on. The AI Enablement Platform Engineer is the engineer accountable for the substrate: 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.
This is a platform role with unusually direct business consequences. The model-routing and harness-evaluation work this engineer owns is what distinguishes a diversified, cost-optimized inference strategy from a single-vendor one. 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.
- Own and extend the MCP Gateway and connector platform. Build and harden MCP server integrations (Glean, Slack, Jira, Snowflake, Salesforce, Monday, Tableau, Databricks and beyond) on the gateway; own auth, scopes, tenancy, rate...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs