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.
Primary Duties:
- 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 limiting, and read/write policy enforcement for non-BAA tools; partner with Security and platform owners on safe-by-default access paths.
- Own the distribution layer, run the marketplace publishing pipeline: versioning, CI/CD, plugin PR review, release hygiene, and the developer tooling sync processes. Build and maintain shared plugins, skills, hooks, and Spec-Driven Development tooling consumed across PTA teams, plus the authorship guides that let other teams contribute without hand-holding.
- Own platform observability, model-gateway configuration, and cost attribution. Extend the usage-rollup and telemetry pipeline so adoption, tool-call health, and inference spend are attributable by team, workload, and model. Define model routing and build the benchmarks and harness/evaluations that let Aledade choose models on evidence.
- Extend the agent output and collaboration surface. Build out infrastructure to support mapping agent outputs into a browsable, searchable, commentable surface, discovery and tagging, per-viewer engagement instrumentation, comments, expiry, and share notifications.
- 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.
Minimum Qualifications:
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.
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).
Strong written communication: comfortable producing documentation, runbooks, and educational artifacts for engineers who weren't in the room.
Preferred KSAs:
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 building evaluation harnesses or benchmarks for LLM systems, including A/B comparison of prompts, tools, or model versions.
Experience operating a package registry, plugin ecosystem, or extension marketplace — publishing pipelines, semantic versioning, compatibility, and deprecation.
Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems; familiarity with BAA and data-residency constraints on third-party tooling.
Familiarity with Aledade's stack (Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, Sumo Logic) is a plus but not required.
Comfort across the full stack (frontend/backend/infra) — platform work at this stage doesn't honor team boundaries.
Experience as an early engineer on a platform whose users are internal colleagues, where adoption has to be earned rather than mandated.
Physical Requirements:
Skills Required
- BS/BTech or higher in Computer Science, Engineering, or a related field
- 5+ years of professional software engineering experience
- Production ownership of a backend service or developer platform, including authentication, release processes, and operational health
- Production experience with a modern application stack such as Python, TypeScript/Node, Go, or similar
- Experience with modern CI/CD
- Hands-on experience with machine-to-machine authentication and authorization, including OAuth2, OIDC, credentials, token scoping, or secret management
- Experience instrumenting owned systems with metrics, structured logging, tracing, or usage analytics
- Hands-on experience with agentic coding tools in production or near-production environments
- Strong written communication and ability to produce documentation, runbooks, and educational materials
- Experience authoring or maintaining MCP servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations
- Experience operating an LLM gateway or inference proxy in production
- Experience building LLM evaluation harnesses or benchmarks
- Experience operating a package registry, plugin ecosystem, or extension marketplace
- Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems
- Familiarity with Python/FastAPI, Vue/TypeScript, PostgreSQL, AWS, Auth0, Datadog, or Sumo Logic
- Full-stack experience across frontend, backend, and infrastructure
- Experience as an early engineer on an internal platform
Aledade Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aledade and has not been reviewed or approved by Aledade.
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Fair & Transparent Compensation — Pay is often characterized as fair or pretty good for the work, with occasional remarks that compensation is among the best experienced in a career.
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Leave & Time Off Breadth — Time off provisions stand out, including a strong PTO allotment early on and an additional long-tenure sabbatical benefit.
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Parental & Family Support — Paid parental leave is positioned as a meaningful, broadly applicable benefit for new parents.
Aledade Insights
What We Do
Aledade is the largest network of independent primary care, enabling clinicians to deliver better patient outcomes and generate more savings revenue through value-based care. Aledade’s data, personal coaching, user-friendly workflows, health care policy expertise, strong payer relationships and integrated care solutions enable primary care organizations to succeed financially by keeping people healthy. Together with more than 1,900 practices and community health centers in 45 states and the District of Columbia, Aledade manages accountable care organizations that share in the risk and reward across more than 200 value-based contracts representing more than 2.5 million patient lives. To learn more, visit www.aledade.com or follow on X (Twitter), Facebook or LinkedIn.
Why Work With Us
At Aledade, we’re all about doing good for patients, practices and society - which is why we’re so passionate about value-based care and the work we do every day. Because we’re working to benefit all of society, we believe the best way to do so is to utilize all of our team members and their unique experiences, interests, backgrounds and beliefs.
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