Senior Software Engineer II (AI Enablement)

Accountabilities:

• Own and extend the MCP Gateway and connector platform, building and hardening integrations with enterprise systems such as Glean, Slack, Jira, Snowflake, Salesforce, Monday, Tableau, and Databricks.
• Design and maintain authentication, authorization scopes, tenancy, rate limiting, and read/write policy enforcement for connected tools, partnering with Security and platform owners to establish safe-by-default access patterns.
• Own the plugin distribution layer and marketplace publishing pipeline, including versioning, CI/CD, plugin pull request reviews, release hygiene, and developer tooling synchronization.
• Build and maintain shared plugins, skills, hooks, and Spec-Driven Development tooling used across engineering teams.
• Create and maintain authoring documentation and guides that enable other teams to contribute to the platform independently.
• Own platform observability, model gateway configuration, and AI cost attribution, extending telemetry and usage pipelines to measure adoption, tool-call health, and inference spending by team, workload, and model.
• Define model-routing strategies and develop benchmarks and evaluation harnesses that support evidence-based decisions about model selection and performance.
• Extend infrastructure that transforms agent outputs into browsable, searchable, and collaborative experiences, including discovery, tagging, engagement instrumentation, comments, expiration, and sharing notifications.
• Run technical enablement activities such as office hours and educational sessions focused on agentic coding and plugin-authorship practices.
• Mentor engineers on AI platform development patterns, plugin creation, and effective use of agentic coding tools.
• Triage and consolidate incoming platform feature requests and help prioritize improvements based on user needs and platform impact.
• Participate in on-call responsibilities for marketplace-published artifacts and gateway availability.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, or a related technical field.
• 5+ years of professional software engineering experience.
• Demonstrated production ownership of a backend service or developer platform, such as an API gateway, service proxy, SDK/CLI, internal developer platform, or comparable system, including responsibility for authentication, releases, and operational health.
• Strong production experience with at least one modern application stack such as Python, TypeScript/Node, Go, or a comparable technology.
• Strong experience with modern CI/CD practices and production software delivery.
• Hands-on experience implementing authentication and authorization for machine-to-machine traffic, including OAuth2, OIDC, M2M credentials, token scoping, and secret management.
• Demonstrated ability to instrument owned systems using metrics, structured logging, tracing, usage analytics, or similar observability practices and use resulting data to inform technical decisions.
• Direct hands-on experience with agentic coding tools such as Claude Code, Cursor, Cody, Copilot agents, Aider, or equivalent tools in production or near-production environments.
• Strong written communication skills, including the ability to create technical documentation, runbooks, and educational resources for engineering teams.
• Experience authoring or maintaining MCP servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations is preferred.
• Experience operating an LLM gateway or inference proxy in production, including routing, fallback, caching, quotas, and cost attribution, is preferred.
• Experience building evaluation harnesses or benchmarks for LLM systems, including A/B comparisons of prompts, tools, or model versions, is a plus.
• Experience operating a package registry, plugin ecosystem, or extension marketplace, including publishing pipelines, semantic versioning, compatibility management, and deprecation processes, is beneficial.
• Background in healthcare technology, HIPAA-regulated environments, or systems handling protected health information is preferred.
• Familiarity with business associate agreements and data-residency considerations for third-party tooling is a plus.
• Experience with technologies such as Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, or Sumo Logic is beneficial but not required.
• Comfort working across frontend, backend, and infrastructure boundaries.
• Experience as an early engineer on an internal platform where adoption must be earned through product quality and user value is a plus.
• Strong collaboration, mentoring, problem-solving, ownership, and cross-functional communication skills.
• Ability to work effectively in a remote environment and manage prolonged periods of computer-based work.

Benefits:

• Remote work arrangement within the United States.
• Full-time position with a senior-level platform engineering scope.
• Opportunity to work on AI enablement infrastructure supporting organization-wide adoption of agentic technologies.
• Direct ownership of systems with measurable impact on AI usage, inference costs, model performance, and developer productivity.
• Exposure to advanced technologies including MCP, LLM gateways, agentic coding tools, model evaluation, AI observability, and plugin ecosystems.
• Opportunity to collaborate across engineering, security, infrastructure, and other technical teams.
• Mentoring and knowledge-sharing opportunities through office hours, educational sessions, and engineering enablement initiatives.
• Hands-on ownership of production systems with responsibility for reliability, security, observability, and operational health.
• Opportunity to help shape scalable AI platform standards and tooling in an evolving technical environment.