AI Engineer
@ Micro1

Remote
$225,000
Remote
Full Time
Posted 5 hours ago

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Job Details

About micro1

The AI platform for human intelligence—micro1 builds 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 activities and modernizing staffing firms to help startups build core AI teams.

Job Description

Join our core engineering team as an AI Engineer and shape the future of recruiting technology. Work hands-on with Zara, our pioneering AI Recruiter model, to design, build, and scale next-generation systems redefining talent identification and engagement.

What You Will Do

  • Architect and develop scalable AI systems using Python and AWS.
  • Advance multimodal AI integrating text, audio, video, and visual inputs.
  • Collaborate cross-functionally with product, research, and engineering teams.
  • Build efficient APIs using LangChain and FastAPI.
  • Drive research and innovation in state-of-the-art AI technologies.

Qualifications

Required: Bachelor’s degree in Computer Science, proven Python and AWS experience, strong skills in LLMs, LangChain, multimodal AI, and API development. Excellent communication and independent problem-solving are a must.

Preferred: Master’s degree, technical leadership experience, open-source contributions, and GPU programming familiarity.

Key skills/competency

  • Python
  • AWS
  • LLMs
  • LangChain
  • FastAPI
  • Multimodal
  • APIs
  • AI Recruiting
  • Scalability
  • Cross-Functional

How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it to highlight Python and AWS experience.
  • Research micro1: Review company mission and AI projects.
  • Prepare your portfolio: Showcase multimodal AI and API projects.
  • Practice interviews: Focus on technical and problem-solving questions.

📝 Interview Preparation Advice

Technical Preparation

Review Python and AWS fundamentals.
Practice API development with FastAPI.
Study LLM architectures and multimodal integration.
Familiarize with LangChain and cloud setups.

Behavioral Questions

Describe teamwork in complex projects.
Explain problem-solving in technical challenges.
Discuss managing project deadlines effectively.
Share experiences in cross-functional collaborations.

Frequently Asked Questions