Job Description

Job Title: AI Engineer

Job Type: Full-Time, Core Team

Emplacement: Remote

Total Compensation: $150-300k/year

About Us:

The AI platform for human intelligence—we build models that rigorously vet PhDs and scale human data training for frontier LLMs.

Our agent, Zara, autonomously sources and evaluates world-class researchers and data trainers—powering post-training (RLHF, evals, red-teaming) for top AI labs, modernizing staffing firms, and helping startups hire their core AI teams.

Long term, we’re the default engine behind expert talent—creating the highest-quality, pre-vetted global pool on earth.

Job Summary

Join us as an AI Engineer and help shape the future of recruiting technology. In this role, you’ll work side-by-side with Zara, our cutting-edge AI Recruiter model—an industry-first system that’s redefining how companies identify, evaluate, and engage top talent at scale. If you’re passionate about pushing the boundaries of AI and want your work to directly influence the evolution of intelligent automation in talent acquisition, this is the role for you.

Key Responsibilities

• Develop and deploy scalable AI models using Python and AWS for various applications
• Design and implement advanced LLMs and multimodal systems (textual, audio, video, and visual models) and integrate them with existing platforms.
• Collaborate with cross-functional teams to understand project requirements and deliver optimal AI solutions.
• Utilize LangChain and FastAPI to create efficient API frameworks and enhance system performance.
• Write clear and comprehensive documentation and facilitate knowledge sharing across teams.
• Conduct code reviews and provide mentorship to junior engineers to foster skill development.
• Continuously research and apply new AI technologies—including multimodal AI advancements—to enhance our offerings.

Required Skills and Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Proven experience in Python programming and working with AWS environments.
• Extensive experience with LLMs, LangChain, and multimodal AI (e.g., textual/audio models and video/visual models).
• Proficiency in developing APIs, with experience in FastAPI or Flask.
• Strong problem-solving skills and ability to work independently with minimal supervision.
• Excellent written and verbal communication skills, with a focus on clarity and precision.

Preferred Qualifications

• Master’s degree or higher in a relevant field.
• Experience in a leadership or mentoring role.
• Published work or contributions to AI community projects.
• Knowledge of GPU programming/optimization for deep learning workloads.