Senior AI Platform Engineer — Scale LLMs

Mercury; United States; On-site; USD 166,600 - 218,700; Full time

Job summary

Mercury is seeking an experienced backend developer to extend its internal AI platform. You will build and maintain systems that integrate internal data and enhance knowledge discoverability across teams. The ideal candidate has over 5 years in backend development, is fluent in multiple programming languages, and has experience with LLM-powered systems. This role offers a base salary range of $166,600 to $218,700 for US employees. Mercury values diversity and is an equal opportunity employer.

Qualifications

• 5+ years of backend development experience in complex, production systems.
• Fluent across programming languages and can navigate platform engineering and infrastructure.
• Hands-on experience building LLM-powered systems and has shipped to production.

Responsibilities

• Build and evolve MCP servers connecting internal systems and data sources.
• Expand and operate LLM gateway infrastructure for routing and observability.
• Create self-service scaffolding for non-engineers to prototype AI workflows.

Skills

Backend development

Programming languages fluency

LLM-powered systems experience

AI deployment tradeoffs understanding

Job description

Mercury is seeking an experienced backend developer to extend its internal AI platform. You will build and maintain systems that integrate internal data and enhance knowledge discoverability across teams. The ideal candidate has over 5 years in backend development, is fluent in multiple programming languages, and has experience with LLM-powered systems. This role offers a base salary range of $166,600 to $218,700 for US employees. Mercury values diversity and is an equal opportunity employer.