PAR Technology Corporation is looking to leverage AI and LLM integration to enhance their restaurant technology solutions, aiming to create meaningful, differentiating user experiences that simplify decision-making, surface insights, and enable faster action for operational teams, ultimately driving product adoption and customer retention.
Requirements
- Proficiency with LLM platforms and APIs (e.g., OpenAI, Azure OpenAI)
- Familiarity with prompt engineering, embedding models, and vector databases
- Experience designing and implementing multi-step AI workflow chains (e.g., LangChain, Semantic Kernel, custom pipelines)
- Strong data skills, including proficiency with SQL and structured datasets in production
- Understanding of cloud-based orchestration tools like Azure Data Factory or equivalents
- Experience taking AI features from prototype to production with attention to scalability, cost-efficiency, and observability
- Experience working with data-rich applications, especially in retail, hospitality, or restaurant operations
Responsibilities
- Design and build user-facing AI capabilities that simplify decision-making, surface insights, and enable faster action for operational teams.
- Create and maintain multi-step LLM workflows (chains) that combine prompts, tools, and data to execute complex tasks—enabling conversational agents, data-powered assistants, and automation flows that deliver measurable process improvements.
- Use retrieval-augmented generation (RAG) to combine internal data with LLMs and generate context-aware, trustworthy results.
- Deliver features that set PAR apart from the competition and provide tangible value to users—leading to greater product adoption and customer retention.
- Designing and building intelligent, multi-step pipelines that use LLMs, tools, and data to solve complex user and product problems.
- Taking AI features from prototype to production with attention to scalability, cost-efficiency, and observability.
- Setting standards and best practices for trustworthy, scalable AI
Other
- 5+ years’ experience as a software engineer, ideally within a SaaS or data-centric product environment
- Strong communication skills and ability to work cross-functionally with product, engineering, and data teams
- Recognized as an internal driver of AI strategy and implementation
- Remote, United States
- Interview 1: Phone Screen with Talent Acquisition Team
