✦ Luna Orbit — AI & Machine Learning

Senior Engineer - GenAI

at Target

📍 7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 Hybrid 💰 $98K – $176K USD / year Posted March 13, 2026
Salary $98K – $176K USD / year
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Not specified
Category AI & Machine Learning

Senior AI Engineer leveraging GenAI and Large Language Models to develop innovative AI solutions for Target's product lines.

  • Develop GenAI models
  • Integrate LLMs with data systems
  • Scale AI infrastructure
  • Collaborate with data scientists
  • Automate data exploration and visualization

Focus on Generative AI, LLMs, multi-modal data, data curation, visualization, and scalable AI infrastructure using Python and cloud platforms.

The ideal candidate is a senior AI engineer with 5+ years of experience in Generative AI, Large Language Models, and machine learning, with strong Python skills. They excel in data curation, exploration, and deploying scalable AI infrastructure in a collaborative environment.

GenAILarge Language Modelsmachine learningPython
Deep LearningNLPAI infrastructuredata visualization
JupyterTensorFlowPyTorchAWSAzureGoogle Cloud
GenAILarge Language ModelsLLMmulti-modal datadata curationexplorationvisualizationmachine learningAI infrastructurePythonDeep LearningNLPData Sciencescalable systems
GenAILarge Language ModelsLLMmulti-modal datadata curationexplorationvisualizationmachine learningAI infrastructurePythonDeep LearningNLPData Sciencescalable systems
collaborative teamworkproblem-solvingcommunicationcross-functional collaborationinnovative thinking

Preferred

AWS Certified Machine Learning - SpecialtyGoogle Cloud Professional Data Engineer
Industry Retail / Technology / Data Science
Job Function Lead development of Generative AI and LLM-based solutions for retail innovation
GenAILarge Language ModelsLLMmulti-modal datadata curationexplorationvisualizationmachine learningAI infrastructurePythonDeep LearningNLPData Sciencescalable systemsdata visualizationcollaborative teamwork

Lack of experience with GenAI or LLMs, No experience with scalable AI systems, Unwillingness to work in a hybrid environment, Insufficient Python programming skills

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