AI Architect - Remote

Job Description

Job Information

Member of Technical Staff (Zara)

Location: Denver, CO

Remote

Geographic Reference

Job Type: Full-Time

Experience Level: Not Specified

Job Summary

Join our engineering team and help shape the future of recruiting technology—already trusted by almost every major AI Lab. You'll work hands-on with Zara, our pioneering AI Recruiter model, to design, build, and scale next-generation systems that are redefining how companies identify and engage talent, while collaborating across disciplines to deliver cutting-edge solutions at the center of the AI revolution.

Machine Learning & Artificial Intelligence

Key Responsibilities

Architect and Develop Systems: Design, build, and deploy scalable AI models and infrastructure leveraging Python and AWS.Advance Multimodal AI: Develop and integrate advanced LLMs and multimodal systems (text, audio, video, and visual inputs) into core platforms.Collaborate Cross-Functionally: Partner with product, research, and engineering teams to translate requirements into robust technical solutions.API Frameworks: Build efficient APIs using LangChain and FastAPI to enhance system performance and interoperability.Research & Innovation: Stay at the forefront of AI advancements and drive adoption of cutting-edge multimodal AI technologies.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or related technical field.Proven experience in Python programming and building systems in AWS environments.Strong hands-on experience with LLMs, LangChain, and multimodal AI frameworks.Proficiency in developing APIs (FastAPI, Flask, or similar).Strong problem-solving skills with the ability to operate independently.Excellent communication skills, both written and verbal.

Preferred Qualifications

Master's degree or higher in a relevant technical field.Experience in technical leadership, mentoring, or guiding engineering teams.Contributions to open-source AI projects or published research.Familiarity with GPU programming and optimization for deep learning workloads.