AI Engineer
Required Skills
Job Description
Job Title: AI Engineer
Job Type: Full-Time, Core Team
Location: 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 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.
What You'll Do
- 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.
What We're Looking For
- 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.