AI-Powered Full-Stack Engineer — Remote-ready Scale Features

Walter; New York (NY); Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Open to on-site and remote candidates

Impact millions of users

Elite AI lab with global platform

Long-term, full-time position

Job summary

Walter in New York City is assembling an elite AI engineering team to build and scale AI-powered products that reach millions of users. The team blends AI breakthroughs with practical product delivery in a cutting-edge lab environment within a global ecosystem.

Ideal candidates ship features in production, work with LLMs at scale, and create seamless AI-driven user interfaces across content, commerce, and messaging experiences.

Qualifications

• Proven track record of shipping AI features into production with real user adoption.
• Hands-on experience with large language models (LLMs), APIs or custom implementations, at scale.
• Strong full-stack development skills (PHP, Python, or JavaScript).
• Ability to build performant AI-powered user interfaces.

Responsibilities

• Build and ship user-facing AI features across multiple products, including content creation tools, e-commerce recommendations, and messaging experiences.
• Rapidly prototype and iterate AI-powered solutions, evolving them into production-ready systems.
• Collaborate closely with product managers, designers, and fellow engineers to design, implement, and scale innovative features.
• Stay ahead of AI advancements and leverage them to unlock new user experiences.
• Contribute to the technical vision and strategy for scaling AI products across the ecosystem.

Skills

AI features production

LLMs (APIs or custom)

Full-stack development

AI UI development

Consumer AI products

PHP experience

WordPress / e-commerce / messaging

Open-source contributions

Job description

Walter in New York City is assembling an elite AI engineering team to build and scale AI-powered products that reach millions of users. The team blends AI breakthroughs with practical product delivery in a cutting-edge lab environment within a global ecosystem.

Ideal candidates ship features in production, work with LLMs at scale, and create seamless AI-driven user interfaces across content, commerce, and messaging experiences.