AI Solutions Architect

Role Overview

This full-time remote opportunity is for an AI Engineering member of technical staff who will help build the next generation of AI recruiting systems. The position focuses on creating scalable, production-ready AI infrastructure and models that improve how organizations discover and connect with talent. The work sits at the intersection of AI engineering, product development, and research, with a strong emphasis on practical impact across multiple domains.

Key Responsibilities

• Design, develop, and deploy scalable AI models and supporting infrastructure using Python and AWS.
• Build and integrate advanced large language models and multimodal AI systems that handle text, audio, video, and visual inputs.
• Work closely with product, research, and engineering teams to turn business and technical needs into reliable solutions.
• Contribute to systems that improve how AI learns, reasons, and performs across areas such as finance, healthcare, engineering, and related fields.
• Work directly on an AI recruiting product to help shape new systems for identifying and engaging talent.

Required Qualifications

• Hands-on experience creating, scaling, and deploying AI models and infrastructure in Python and AWS environments.
• Practical knowledge of large language models and multimodal systems, including how they are used and where their limitations lie.
• Ability to work across functions and communicate technical ideas clearly to different teams.
• Strong analytical thinking and a track record of solving complex technical problems with innovative approaches.

Opportunity Snapshot

This role offers the chance to contribute to a global AI platform that works with domain experts to improve frontier AI models. The environment is suited to someone who wants to influence the future of AI recruiting technology and help advance systems that have already supported more than 1 million AI-led interviews.

Equal Opportunity

Selection is based on skill and relevant expertise. Candidates from all backgrounds are encouraged to apply, and reviews are carried out without regard to prior employment history, experience background, or personal circumstances.