Edge AI/ML Engineer for Autonomous Systems

NODA AI

Austin (TX)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Competitive pay
Flexible time off
Generous health, dental, and vision benefits

Job summary

A leading technology company in Austin is looking for an AI/ML Engineer to design intelligent agents for autonomous systems. The successful candidate will focus on LLM orchestration frameworks, agent reasoning systems, and deploying AI models in edge environments. Candidates should have over 3 years of production experience, proficiency with Python, and knowledge of AI/ML frameworks. The position offers a hybrid work model, competitive pay, and generous benefits for employees who work in a collaborative environment focused on innovative technology.

Qualifications

  • 3+ years of experience in production AI/ML applications with emphasis on LLM deployment and orchestration.
  • Proficiency in Python and modern AI/ML frameworks.
  • Experience with model optimization and deployment to edge computing environments.

Responsibilities

  • Design and implement LLM orchestration frameworks.
  • Develop agent reasoning systems linking mission objectives with commands.
  • Optimize language models for edge computing deployment.

Skills

Python
AI/ML frameworks (e.g., PyTorch, Transformers)
Model optimization
Distributed systems
MLOps practices
Multi-agent coordination
Prompt engineering
Simulation-in-loop testing

Education

3+ years of experience in production AI/ML applications
Experience with LLM deployment
U.S. Citizenship

Tools

Jetson
Raspberry Pi
ROS 2

Job description

A leading technology company in Austin is looking for an AI/ML Engineer to design intelligent agents for autonomous systems. The successful candidate will focus on LLM orchestration frameworks, agent reasoning systems, and deploying AI models in edge environments. Candidates should have over 3 years of production experience, proficiency with Python, and knowledge of AI/ML frameworks. The position offers a hybrid work model, competitive pay, and generous benefits for employees who work in a collaborative environment focused on innovative technology.
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