7-Eleven is an iconic family of brands with over 86,000 locations, surpassing every retailer in the world. We revolutionize convenience, restaurants and fuel through cutting edge innovation — working hard to be the customer's first choice. 7-Eleven empowers our employees to "activate awesome" and make a meaningful impact in their stores and communities every day. If you're ready to grow, lead and make a difference, come join our team and help shape the future of convenience.
Job Description
7-Eleven is looking for a Staff Engineer - Agents to join the Enterprise AI Team!
At 7-Eleven Enterprise AI Team, we’re creating the next generation of convenience, and we know that the best way to do that is with great people. If you get excited about working on challenging problems and owning a solution from concept to implementation, read on.
About the job:
You’ll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome AI products that millions of people will experience every day.
Staff Engineers at 7-Eleven have a large amount of experience across multiple areas and lead system architecture, guiding developers and communicate progress against the technical roadmap and backlog. They can plan, coordinate, and deliver large tasks spanning multiple systems, and are strong communicators. They actively coach and mentor developers on their development team and can identify and resolve issues with technology and software development processes.
As a Staff Engineer, you will not only help teams navigate technical problems but grow and coach developers on your team to write scalable, resilient, and robust software and systems. Note that most engineers will typically spend up to 30-50% of their time designing and building software, with their remaining time being committed to architecting/planning, mentoring, and technical exploration.
Key Responsibilities:
As a Staff AI Engineer specializing in Agents and LLMs, you will:
- 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.
If an hourly or salary range is included in this ad it represents the range 7-Eleven in good faith believes is the range of compensation for this role at the time of this posting. The Company may ultimately pay more or less than the posted range. This range is only applicable for jobs to be performed in this state. This range may be modified in the future. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, long-term incentive compensation, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
For a general description of all benefits 7-Eleven is offering in the US for the position, please visit this link.
For a general description of all benefits 7-Eleven is offering in Canada for the position, please visit this link.
Skills Required
- 6+ years in a technical AI role, with 2-3 years in a senior technical AI role
- 4+ years building AI models and solutions from research to production using frameworks like scikit-learn, TensorFlow, PyTorch, LangChain/LangGraph
- 2+ years building LLM-based chat and agentic assistants and products for 1000+ users
- 2+ years reviewing and refining AI architecture and conducting code reviews
- 2+ years 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 and LLM engineering architecture and ecosystem
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or relevant experience
- MSc or PhD in CS/ML/Statistics/Math (preferred)
- Experience with Databricks (preferred)
- Experience building and scaling custom chatbots and multi-agent systems (preferred)
- Experience training and evaluating AI models (preferred)
- Experience delivering production-quality systems leveraging emerging technologies (preferred)
7-Eleven Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about 7-Eleven and has not been reviewed or approved by 7-Eleven.
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Healthcare Strength — Medical, dental, and vision coverage are offered, alongside life insurance, FSAs, and 24/7 EAP and mental‑health resources. Multiple plan options, regional offerings, and dependent coverage are described for eligible employees.
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Leave & Time Off Breadth — Paid time off covers vacation, sick, and personal days, with additional allowances for holidays, bereavement, and jury duty leave. PTO typically accrues based on hours worked.
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Career-Linked Recognition & Rewards — Bonuses, leadership shoutouts, store/company-wide visibility, and employee referral rewards are part of the rewards framework. Opportunities for career growth and tuition assistance are also mentioned.
7-Eleven Insights
What We Do
7-Eleven introduced the world to convenience. And in return, the world made us the #1 convenience retailer. It started with a simple idea – give customers what they want, when and where they want it. That was 1927. And what started on a single ice dock in Dallas, Texas, has since grown to more than 70,000 locations in 18 countries around the globe. The idea may have been simple, but it started a retail revolution.
