Want to get hired at Micro1?
AI Engineer
Micro1
HybridHybrid
Original Job Summary
About micro1
The AI platform for human intelligence—building models to 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 tasks and modernizing staffing for startups and top AI labs.
Job Summary
Join our engineering team to shape the future of recruiting technology trusted by nearly every major AI lab. Work hands-on with Zara, our AI Recruiter model, to design, build, and scale next-generation systems at the core of the AI revolution.
What You'll Do
- Design, build, and deploy scalable AI models and infrastructure using Python and AWS.
- Develop and integrate advanced LLMs and multimodal systems including text, audio, video, and visual inputs.
- Collaborate with product, research, and engineering teams to translate requirements into robust solutions.
- Build efficient APIs with LangChain and FastAPI to boost system performance.
- Drive research and innovation in cutting-edge multimodal AI technologies.
What We're Looking For
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience in Python and AWS environments.
- Extensive hands-on experience with LLMs, LangChain, and multimodal AI frameworks.
- Proficiency in API development using FastAPI, Flask, or similar tools.
- Strong problem-solving and excellent written and verbal communication skills.
Preferred Qualifications
- Master’s degree or higher in a relevant field.
- Experience in technical leadership or mentoring engineering teams.
- Contributions to open-source AI projects or published research.
- Familiarity with GPU programming and optimization for deep learning workloads.
Key skills/competency
- Python
- AWS
- LLMs
- LangChain
- API Development
- Multimodal AI
- FastAPI
- Deep Learning
- Innovation
- Collaboration
How to Get Hired at Micro1
🎯 Tips for Getting Hired
- Research micro1's culture: Explore their mission, values, and recent projects.
- Customize your resume: Highlight Python, AWS, and LLM experience.
- Tailor your application: Address multimodal AI and API expertise.
- Practice technical questions: Prepare for challenges on scalable systems.
📝 Interview Preparation Advice
Technical Preparation
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Review Python coding challenges.
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Practice AWS deployment scenarios.
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Study LLM and multimodal frameworks.
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Experiment with API frameworks like FastAPI.
Behavioral Questions
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Describe a time you solved critical issues.
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Explain teamwork experience in technical projects.
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Share conflict resolution in project environments.
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Discuss independent problem-solving examples.