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Member of Technical Staff, AI/ML Engineering

$300
per hour
Contractor Remote Last verified 21 Jul 2026
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About the Role

Join our team as a Member of Technical Staff, AI/ML Engineering, and drive the development of cutting-edge AI systems. Work alongside talented engineers to design, implement, and optimize advanced LLM-based solutions, leveraging your expertise in quantitative fields to create impactful, scalable products. • Design, build, and deploy AI/ML solutions with a focus on large language models (LLMs) using Python and AWS infrastructure.

What You'll Do

  • Design, build, and deploy AI/ML solutions with a focus on large language models (LLMs) using Python and AWS infrastructure.
  • Architect scalable APIs and microservices utilizing FastAPI, ensuring robust, high-performance systems.
  • Integrate LangChain and advanced AI frameworks to deliver innovative model interaction capabilities.
  • Collaborate with cross-functional teams to translate complex mathematical, statistical, or physics-based problem statements into actionable engineering solutions.
  • Apply core math, statistics, or physics knowledge to improve model performance, interpretability, and reliability.
  • Maintain high standards of code

You're a Good Fit If You

  • Required skills: Python, LLMs, AWS, LangChain, FastAPI

Role Highlights

Pay
$160-$300/h
Contract
Contractor
Location
Remote
Category
Coding
Posted
a month ago
Job ID
WE-7341

Pay & Payout

Engaged directly through micro1. Apply via the link below - micro1 handles onboarding and payment.

Common Questions

micro1 has a reliability rating of reliable based on the listings we track, with an onboarding time of 1-3 days. See our full micro1 review for the details behind that rating.

Applying takes you to micro1's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.

$160-$300/h - Engaged directly through micro1. Apply via the link below - micro1 handles onboarding and payment.

Design, build, and deploy AI/ML solutions with a focus on large language models (LLMs) using Python and AWS infrastructure. Architect scalable APIs and microservices utilizing FastAPI, ensuring robust, high-performance systems. Integrate LangChain and advanced AI frameworks to deliver innovative model interaction capabilities.

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