
location_onFirst Drive West, San Francisco, California, 94129, United States
Our client has emerged from a decade of stealth to launch breakthrough 5G Location Positioning software. Founded by a small team of Stanford graduates and industry experts, the company is backed by leading investors in space and wireless technologies. They are now building the next generation of real-time 3D positioning platforms that power critical customer operations.
As an AI Interfaces Engineer, you will design and build agent-mediated interfaces that bridge our product and internal tooling. This role is pivotal in establishing a new pattern of AI-native frontend development, where prototypes evolve against real platform data over the Model Context Protocol (MCP) and move efficiently from concept to deployable experience.
You will focus on AI chat interfaces, agentic use cases, and product-facing MCP servers that extend the real-time 3D positioning platform our customers depend on. This is a primarily hands-on position that blends prompt engineering, full-stack engineering, and AI-native product thinking within a fast-paced startup environment. You will take full ownership of initiatives, guiding them from early concept discovery and prototyping through production deployment, telemetry, and ongoing iteration.
Candidates will be evaluated on their ability to ship production applications built around LLMs and agent frameworks. The process involves demonstrating fluency in prompt engineering, full-stack engineering capabilities, and experience with agent tool protocols. We are looking for individuals who can operate comfortably in ambiguity and partner with founding contributors to set direction and establish patterns across teams.
We are an equal opportunity employer committed to building a diverse and inclusive team. We consider qualified applicants regardless of background, identity, or experience.
Work model: Remote
First Drive West, San Francisco, California, 94129, United States
San Francisco, California
Experience with AWS cloud platforms.
Skills: Prompt Engineering, Typescript, React, Python, Aws, Ci/cd, MCP, Github, Confluence, Jira.
Education: Bachelor's degree in Computer Science, HCI, Design, or related field (preferred).
Ever operates within the technology, information, and media sector, specializing in AI-native solutions for the auto retail industry. Headquartered in San Francisco, California, the company leverages artificial intelligence to transform how electric vehicles are bought and sold through its platform at evercars.com. The organization is led by a team of professionals with extensive backgrounds in both the technology and automotive sectors, including experience from companies such as Uber, Tesla, Rivian, Carvana, Lyft, Meta, and J.P. Morgan.
Ever is supported by a robust investor network comprising founders and backers from prominent firms like Anduril, Cerebras, Redwood Materials, Rivian, Wayve, Joby, OURA, Wolt, Supercell, Aiven, ICEYE, and Verkada. This backing underscores the company's focus on innovation and scalability within the electric vehicle market. The firm currently offers career opportunities across engineering and operations divisions, inviting candidates to explore roles via evercars.com/careers. Ever continues to build its presence by combining technical expertise with industry knowledge to redefine the possibilities of modern auto retail.
Browse more roles: All Ever jobs, it jobs on Recrutus.
Experience
Mid Level
Education
Bachelor's degree in Computer Science, HCI, Design, or related field (preferred)
Job Type
Full-Time