Senior Software Engineer - AI Engineering
Core
Building and scaling Mercury's internal AI platform, MCP servers, and shared knowledge layer to enable company-wide AI adoption and agent capabilities.
Role type
Senior Software Engineer - AI Platform Infrastructure
Builds
MCP servers, LLM gateway infrastructure, shared prompt libraries, guardrails, policy-as-code, sandbox environments, and evaluation harnesses.
Domain
SaaS / Fintech / AI Infrastructure / LLM Systems
Deliverable
production ML models | infrastructure | product features
Required skills
Backend development in complex production systems, LLM-powered system architecture (RAG, agents, eval frameworks), platform engineering, infrastructure design, developer tooling, cost modeling, observability, latency optimization, safety engineering, self-directed execution, cross-functional communication
Preferred skills
Experience with MCP (Model Context Protocol), building self-service scaffolding for non-engineers, creating playgrounds for agent testing
Technologies
MCP servers, LLM gateways, RAG pipelines, agent frameworks, policy-as-code, sandbox environments
Responsibilities
Build and evolve MCP servers connecting internal systems; Expand and operate LLM gateway infrastructure (routing, rate limiting, cost attribution, observability); Turn early patterns into durable defaults (shared prompt libraries, guardrails, policy-as-code); Shape and maintain structured context artifacts for LLM reasoning; Improve internal knowledge discoverability and retrieval; Build sandbox environments and tooling for safe AI experimentation; Create self-service scaffolding for non-engineers to prototype AI workflows; Build playgrounds and evaluation harnesses for internal AI agents
Seniority
Senior, hands-on IC
