Applied AI Engineer II: AI Agents & LLMs

Tanium

Texas

On-site

USD 154,000 - 236,000

Full time

46 hours ago
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Benefits offered by this job

Equity awards
Medical/dental/vision
401(k) with company match

Job summary

Tanium is seeking an Applied AI Engineer II to design, build, and deploy AI Agents and ML models. You will create scalable backend systems for LLMs, collaborate with cross-functional teams, and optimize models for performance and efficiency in a fast-paced environment.

The role emphasizes CI/CD implementation, production monitoring, and staying current with AI advancements, with a competitive compensation package and comprehensive benefits.

Qualifications

  • Bachelor's degree or equivalent experience.
  • CS Degree preferred.
  • 3+ years professional experience in AI or software engineering.
  • Proven AI Dev/Engineer track record.
  • Expert knowledge of at least one language: Golang, Python or Java.
  • Experience with Kubernetes and ML frameworks.
  • Experience with LLMs, AI Agents, and NLP techniques.
  • Familiarity with AWS/Azure/GCP and containerization.

Responsibilities

  • Design, develop, and deploy AI Agents and ML models.
  • Create and maintain backend systems for LLMs and AI Agents.
  • Collaborate with cross-functional teams to integrate AI solutions.
  • Optimize and fine-tune models for performance and efficiency.
  • Implement and manage CI/CD pipelines for AI deployments.
  • Monitor and troubleshoot AI systems in production.
  • Stay updated with AI, ML, AI Agents, and NLP advancements.

Skills

GoLang
Python
Java
Kubernetes
LLMs
NLP
Cloud platforms

Education

Bachelor's degree or equivalent experience
CS Degree preferred

Tools

Kubernetes
TensorFlow
PyTorch

Job description

Tanium is seeking an Applied AI Engineer II to design, build, and deploy AI Agents and ML models. You will create scalable backend systems for LLMs, collaborate with cross-functional teams, and optimize models for performance and efficiency in a fast-paced environment.

The role emphasizes CI/CD implementation, production monitoring, and staying current with AI advancements, with a competitive compensation package and comprehensive benefits.

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