
Member of Technical Staff (Zara)
Core team
$160K - $300K/yr compensation
Required Skills
Python
LLMs
AWS
LangChain
FastAPI
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description
Job Title: Member of Technical Staff (Zara)
Job Type: Full-Time
Location: Remote
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.