Publix Super Markets-posted 23 days ago
Full-time • Mid Level
Hybrid • Lakeland, FL
5,001-10,000 employees
Food and Beverage Retailers

Please note, this is a hybrid position requiring 8 days per month on-site in Lakeland, FL. Join Publix Technology - Where Innovation Meets Impact Publix Super Markets, Inc., the largest employee-owned company in the U.S., is powered by a dynamic technology team of 2,100+ associates. We deliver modern, cutting-edge solutions to 1,400+ stores and over 200,000 internal team members across 8 states. Whether you're passionate about IT security, platform engineering, architecture, software development, or infrastructure, we offer exciting career paths at every level - from internships to technical leadership. Be part of a Fortune "100 Best Companies to Work For" and help us build more than just great subs - build the future of technology for Publix. The Accounting Automation & AI Team is a new team forming to tackle contemporary challenges in automating complex processes and creating AI agents to perform repetitive tasks requiring cognitive reasoning. In this role, you'll collaborate with enterprise teams to assess requirements, design innovative solutions, and develop cutting-edge systems. The ideal candidate will have exceptional analytical, planning, development, and problem-solving skills, and will excel at communicating effectively with management, peers, technology vendors, and business customers.

  • Design and develop enterprise-grade technology solutions with a focus on performance, scalability, and usability
  • Build and integrate AI-driven components, including foundation models, retrieval-augmented generation (RAG), and prompt engineering techniques
  • Utilize modern development methodologies with a cloud-first approach, incorporating automated testing and CI/CD pipelines
  • Mentor developers on best practices
  • Lead and participate in design and development meetings using Agile and traditional methodologies
  • Create comprehensive documentation for technical design, system specifications, and test outcomes
  • Serve as a subject matter expert for assigned applications and AI workflows
  • Participate in an on-call rotation for production support
  • Bachelor's degree in computer science or related field or equivalent experience
  • 5+ years of software engineering experience with one or more general-purpose programming languages (e.g., Python, C#, Java)
  • Proficient in designing, implementing, and consuming RESTful APIs and using API documentation tools
  • Skilled in designing data solutions for structured, semi-structured, and unstructured data, including schema modeling, complex queries, and performance tuning
  • Experience with AI concepts and platforms, including model integration, prompt engineering, and automation workflows
  • Experience in building responsive web applications using modern web development concepts like TypeScript and JavaScript frameworks (e.g., React, Angular, Blazor)
  • Skilled in deploying and managing cloud-native applications
  • Proficient in version control workflows and collaborative development practices
  • Advanced expertise in designing and maintaining CI/CD pipelines
  • Capable of writing clean, maintainable, and well-documented code
  • Strong problem-solving and debugging skills
  • Experienced in working within Agile/Scrum teams
  • 7+ years of software engineering experience
  • Strong understanding of machine learning fundamentals, including supervised/unsupervised learning, model evaluation, and overfitting/underfitting
  • Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow) and transformer-based architectures
  • Experience with prompt engineering, context engineering, retrieval-augmented generation (RAG), and fine-tuning techniques such as LoRA and PEFT
  • Familiarity with evaluation pipelines and metrics for model performance and quality (e.g., perplexity, BLEU, semantic similarity)
  • Experience in authoring and maintaining Infrastructure as Code (IaC) using tools like Terraform
  • Proficient in designing, provisioning, and managing cloud infrastructure using best practices
  • Knowledgeable in automated testing, build, and deployment strategies for backend and containerized applications
  • Understanding of AI security and ethics, including prompt injection mitigation and compliance considerations
  • Skilled in supporting data and process governance of distribution system compliance in accordance with company policies, standards, and SOX requirements
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