Software Engineer - Applied AI

1w1 week ago

Mercor

San Francisco, US · Full-time · $130,000 – $500,000

About this role

Mercor is defining the future of work, partnering with leading AI labs and enterprises to provide human intelligence essential to AI development. Our vast talent network of over 30,000 experts earns more than $2 million a day. As Software Engineer, Applied AI on the Enterprise team, you'll operate at the intersection of engineering, product, and customer success.

Embed directly with enterprise clients to design and implement technical solutions unlocking Mercor's platform value. Architect integrations, write production-grade code, and deploy scalable solutions tied to measurable business outcomes. Collaborate with customer stakeholders and internal teams to integrate AI-powered human intelligence into complex enterprises.

Join an ambitious, fast-paced, deeply committed team alongside researchers, operators, and AI companies shaping society. Work in-person five days a week in our San Francisco office. Mercor is a profitable Series C company valued at $10 billion.

Your work defines how leading enterprises deploy AI-powered human intelligence systems. Gain deep exposure to real-world AI applications across industries and use cases. Enjoy fast paths to ownership across engineering and product.

Requirements

Strong software engineering fundamentals in at least one modern language (Python, Go, Rust, etc.)
Experience building and deploying production systems in cloud environments (AWS/GCP/Azure)
Comfort working directly with customers and explaining technical concepts to non-technical stakeholders
High ownership mindset with the ability to navigate ambiguity and operate autonomously in high-stakes environments

Responsibilities

Embed with enterprise customers to understand technical requirements and business goals
Architect and implement custom integrations, APIs, and workflows on top of Mercor’s platform
Deploy scalable solutions in client environments and drive successful launches and expansions
Build internal tools and reusable components that accelerate future deployments
Translate ambiguous enterprise needs into clear technical plans and shipped systems