Software Engineer - Accounting Automation & AI

Description

Publix Super Markets, Inc., the largest employee‑owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 200,000+ associates across 8 states. From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level—internships through technical leadership. Join a company consistently ranked among Fortune’s “100 Best Companies to Work For” and help us build more than great subs—build the future of technology  Accounting Automation & AI Team is expanding to deliver reliable, scalable automation solutions across the enterprise.

This role focuses on designing and developing enterprise‑grade systems, building robust automation workflows, and integrating AI‑enabled capabilities into business processes. As a Software Engineer, you will work closely with our AI Engineer and cross‑functional business partners to create modern automation solutions, deploy cloud‑native applications, and support human‑in‑the‑loop processes. The ideal candidate has strong foundational engineering skills, curiosity about AI, and a passion for simplifying complex workflows through thoughtful automation.

Location:

Hybrid (Lakeland, FL) Work Model:
Enjoy the best of both worlds—collaborate in person and innovate remotely.

• Hybrid Flexibility:
  Work remotely when you need focus time, and join us onsite for high‑impact collaboration and brainstorming sessions.
• Operational Efficiency:
  Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness.
• Cutting‑Edge AI Projects:
  Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges.
• Empowered Culture:
  We value autonomy, creativity, and continuous learning—your ideas shape the future of technology in our organization.

• Participate in architecture and design discussions with cross‑functional team members
• Participate in the development and support of automation workflows and integrations
• Work closely with the AI Engineer to product ionize AI‑enabled solutions using LLM APIs, prompt‑based techniques, and evaluation guidance
• Utilize modern development methodologies with a cloud‑first approach, incorporating automated testing and CI/CD pipelines
• 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
• 1+ years of software engineering experience with one or more of the following programming languages (Python, C#, .NET, or Java)
• Familiarity with implementing, and consuming RESTful APIs and using API documentation tools
• Familiarity with building and supporting workflow automation, integrations, or backend services
• Familiarity with maintaining CI/CD pipelines
• Proficient in version control workflows and collaborative development practices
• Capable of writing clean, maintainable, and well‑documented code
• Strong problem‑solving and debugging skills
• Experienced in working within Agile/Scrum teams

• 3+ years of software engineering experience
• Familiarity with modern web technologies or backend frameworks
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform
• Familiarity with LLM APIs, prompting, or basic AI/ML concepts at a conceptual level
• Familiarity with cloud application development and deployment
• Familiarity managing cloud‑based applications
• Exposure to retrieval augmented generation (RAG) concepts or context engineering techniques
• Familiarity with automated testing, build, and deployment strategies for backend and containerized applications
• Familiarity with designing data solutions for structured, semi‑structured, and unstructured data, including schema modeling, querying, and performance tuning
• Knowledge of basic machine…