Senior Software Engineer – AI Enablement

Role Overview

• Join a team building Mercury's internal AI platform and enablement layer.
• Extend, harden, and scale existing technologies.
• Partner with teams to adopt the platform effectively.
• Build and evolve MCP servers connecting internal systems.
• Expand and operate LLM gateway infrastructure.
• Shape and maintain structured context artifacts for LLM reasoning.
• Improve internal knowledge discoverability for humans and agents.
• Build refined sandbox environments for engineers to experiment safely.

Requirements

• 5+ years of backend development experience in complex, production systems.
• Fluent across programming languages.
• Hands-on experience building LLM-powered systems—RAG pipelines, agents, eval frameworks.
• Understands real tradeoffs in AI deployments: cost modeling, observability, latency, and safety.
• High-agency and self-directed.
• Communicates clearly across technical and non-technical audiences.

Benefits

• Our total rewards package includes base salary, equity, and benefits.
• Highly competitive salary and equity ranges updated regularly using reliable compensation survey data.
• Reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs.