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MercuryMercurySan Francisco, CA

Senior Software Engineer - AI Enablement

Builds and scales internal AI platform infrastructure including LLM gateways, MCP servers, and knowledge layers to enable company-wide AI adoption. Requires 5+ years backend experience shipping production LLM systems like RAG and agents.

167k – 219k
Remote5+ YOEBackend Engineering

About the role

What you'll do

You'll join a team building Mercury's internal AI platform and enablement layer to extend, harden, scale it, and help teams adopt it.

Extend the AI platform foundation

  • Build and evolve MCP servers connecting internal systems and data sources for agents and engineers.
  • Expand LLM gateway infrastructure: routing, rate limiting, cost attribution, observability.
  • Turn patterns into defaults: shared prompt libraries, guardrails, policy-as-code.

Strengthen the shared company knowledge layer

  • Shape structured context artifacts for LLMs.
  • Improve knowledge discoverability and retrieval.
  • Partner with teams to standardize sources of truth.

Enable faster prototyping and iteration

  • Build sandbox environments and tooling for safe AI experiments.
  • Create self-service scaffolding for non-engineers.
  • Build playgrounds and evaluation harnesses.

Skills

LLMsRAGAgentsMcp ServersPrompt LibrariesGuardrailsPolicy-As-CodeObservabilityRetrievalEvaluation Frameworks
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