Staff AI/ML Engineer: LLMs, LangChain & AWS (Remote)

Visa Hunt

United States

Remote

USD 200,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Equity compensation
Health insurance premium reimbursement
401(k) with company match
Paid time off

Job summary

micro1 is seeking a Member of Technical Staff, AI/ML Engineering, to drive development of cutting-edge AI systems. You will design, implement, and optimize LLM-based solutions using Python and AWS, and build scalable APIs with FastAPI.

You will apply strong math/statistics/physics fundamentals to improve model performance and reliability, collaborating across teams and ensuring high-quality code and documentation for a remote-first workforce.

Qualifications

  • Advanced degree or demonstrable expertise in math, statistics, physics.
  • Proficiency in Python for AI/ML engineering.

Responsibilities

  • Design, build, deploy AI/ML solutions focused on LLMs using Python and AWS.
  • Architect scalable APIs and microservices with FastAPI.
  • Integrate LangChain for multi-step LLM reasoning.
  • Translate complex math/stats/physics problems into engineering solutions.
  • Apply math/statistics/physics knowledge to improve model performance and reliability.
  • Maintain code quality, docs, and peer reviews in a fast-paced core team.
  • Communicate progress through reports and discussions.

Skills

Python for AI/ML
LangChain usage
AWS cloud services
FastAPI
Mathematical/statistics/physics
Clear communication
LLM deployment/fine-tuning

Education

Advanced degree in math/statistics/physics

Tools

LangChain
FastAPI
AWS
Python

Job description

micro1 is seeking a Member of Technical Staff, AI/ML Engineering, to drive development of cutting-edge AI systems. You will design, implement, and optimize LLM-based solutions using Python and AWS, and build scalable APIs with FastAPI.

You will apply strong math/statistics/physics fundamentals to improve model performance and reliability, collaborating across teams and ensuring high-quality code and documentation for a remote-first workforce.

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