Jobs · Engineering · Texas

Staff Engineer - AI Agents

7-Eleven · Irving, TX · Yesterday
EngineeringFull-time

About the role

7-Eleven is looking for a Staff Engineer - Agents to join the Enterprise AI Team!

Key Responsibilities

  • Lead the design, development, and implementation of advanced agentic systems and algorithms.
  • Architect, design, develop, and deploy AI models across traditional and agentic solutions.
  • Build and deploy high-impact, robust AI pipelines, including data extraction, feature development, model training, testing, and deployment.
  • Conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across multiple regions and product areas.
  • Ability to conduct thorough exploratory data analysis, identify patterns and trends, and draw meaningful insights.
  • Learn and partner with peers across multiple disciplines, such as Data Engineering, Product and Platform.
  • Monitor and maintain production models, ensuring their continued performance and reliability.
  • Evaluate and grow technical talent throughout the AI team, with a focus on subject matter expertise.
  • Represent the Enterprise AI teams in cross-functional meetings with other technical teams.
  • Stay up to date with emerging technologies and learn new technologies/libraries/frameworks.
  • Deliver on time with a high bar on quality of research, innovation and engineering.

Basic Qualifications

  • 6+ years of experience working in a technical AI role, with 2 to 3 years in a senior technical AI role.
  • 4+ years of experience building AI models and solutions from research to production, using common ML frameworks like scikit-learn, TensorFlow, PyTorch, LangChain/LangGraph etc.
  • 2+ years of experience building LLM based Chat and Agentic Assistants, and building scalable products for 1000+ users.
  • 2+ years of experience reviewing and refining AI architecture and conducting code reviews.
  • 2+ years of experience leading a team of engineers in a technical lead capacity.
  • Experience with major cloud platforms (AWS/GCP/Azure), building and deploying scalable AI systems.
  • Strong understanding of LLM models, LLM Engineering architecture and ecosystem, including context, tools, skills, harness etc, with demonstrated delivery.
  • Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience.

Preferred Qualifications

  • MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
  • Experience with Databricks.
  • Experience building and scaling custom Chatbots and Multi-Agent systems successfully.
  • Experience training and evaluating AI models.
  • Experience delivering production quality systems leveraging emerging technologies.

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