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Senior Software Engineer II (AI Enablement)

Aledade - Remote - Remote - posted 2026-09-21

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Aledade is seeking a Senior Software Engineer II to own and extend its AI enablement platform, focusing on the MCP (Model Context Protocol) Gateway and connector ecosystem. This is a high-impact platform engineering role where you will drive adoption of agentic coding tools across the organization and build the infrastructure that enables internal teams to integrate AI agents with enterprise tools. Key responsibilities include: **Platform & Gateway Ownership**: Own and extend the MCP Gateway and connector platform, building and hardening integrations with tools like Glean, Slack, Jira, Snowflake, Salesforce, Monday, Tableau, and Databricks. You will manage authentication, scopes, tenancy, rate limiting, and read/write policy enforcement for non-BAA tools, partnering with Security and platform owners on safe-by-default access patterns. **Distribution & Marketplace**: Own the distribution layer and run the marketplace publishing pipeline, including versioning, CI/CD, plugin PR review, release hygiene, and developer tooling sync processes. Build and maintain shared plugins, skills, hooks, and Spec-Driven Development tooling consumed across teams, plus authorship guides that enable other engineers to contribute independently. **Observability & Cost Attribution**: 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 benchmarks and evaluation harnesses that let Aledade choose models on evidence. **Collaboration Infrastructure**: Extend the agent output and collaboration surface by building infrastructure to support mapping agent outputs into a browsable, searchable, commentable interface with discovery, tagging, per-viewer engagement instrumentation, comments, expiry, and share notifications. **Enablement & 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. This role is ideal for a backend platform engineer who has owned production services, understands the full lifecycle of developer platforms, and is excited about the intersection of AI tooling and enterprise infrastructure. **Requirements:** - BS/BTech (or higher) in Computer Science, Engineering, or 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 decisions - 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 **Preferred Qualifications:** - Experience authoring or maintaining MCP 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) - Comfort across the full stack (frontend/backend/infra) - Experience as an early engineer on a platform whose users are internal colleagues, where adoption has to be earned rather than mandated

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