Machine Learning Engineer - Agentic LLM Pipelines; Hybrid

Lenovo
Chicago, US
Hybrid

Why this role

Pace
Fast Paced
Collaboration
Medium
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • deployed machine learning models
  • developed RAG systems
Typical background
machine learningAI platform development

Transferable backgrounds

  • Coming from AI development
  • Coming from machine learning

Skills & requirements

Required

PythonLLM FrameworksRAG Systems

Preferred

Production DeploymentAgentic LLM Pipelines

Stack & domain

PythonLlm FrameworksRag SystemsAIMachine Learning

About the role

Original posting from Lenovo

Position: Machine Learning Engineer - Agentic LLM Pipelines (Hybrid) Lenovo is hiring a Machine Learning Engineer in Chicago, IL to develop and manage the agentic stack for their AI platform. Responsibilities include designing LLM pipelines, building RAG systems, and deploying models in production. Applicants should have 5+ years of machine learning experience, strong skills in Python and LLM frameworks, as well as familiarity with modern ML tools. The salary range for this position is $145K - $155K annually, with additional potential for bonuses. #J-18808-Ljbffr

Source: Lenovo careers

Similar roles