For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram.

Position Description

At PAR Technology, we are focused on using AI to provide better products for the people who use our solutions. We're looking for an engineer with strong experience in LLM integration and AI product development to help turn our restaurant data and AI capabilities into a meaningful, differentiating part of our user experience.

This role combines hands-on engineering, product-level influence, and architecture — designing and building intelligent, multi-step pipelines that use LLMs, tools, and data to solve complex user and product problems.

Position Location:

Remote, United States

Reports To

Director, Software Engineering

What We’re Looking For

5+ years’ experience as a software engineer, ideally within a SaaS or data-centric product environment
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
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, setting standards and best practices for trustworthy, scalable AI

Additional Skills (Nice-to-Haves)

Experience working with data-rich applications, especially in retail, hospitality, or restaurant operations
Exposure to data visualization, analytics platforms, or reporting tools
Experience with traditional machine learning workflows (e.g., scikit-learn, TensorFlow, PyTorch)

Unleash your potential: What you will be doing and owning:

LLM-Powered Product Features: Design and build user-facing AI capabilities that simplify decision-making, surface insights, and enable faster action for operational teams. These features will be actively used by customers and help drive adoption and retention.
AI Workflow Chains: 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.
Data-Enriched AI Capabilities: Use retrieval-augmented generation (RAG) to combine internal data with LLMs and generate context-aware, trustworthy results. These capabilities will evolve into trusted product experiences.
Wow Factor Experiences: Deliver features that set PAR apart from the competition and provide tangible value to users—leading to greater product adoption and customer retention.

Interview Process

Interview #1: Phone Screen with Talent Acquisition Team
Interview #2: Video interview with the Hiring Manager (via MS Teams)
Interview #3: Technical interview and exercise with the Team (via MS Teams)
Interview #4: Final interview with Team (via MS Teams)

PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, or for your role at PAR, please contact accommodations@partech.com. If you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.

Compensation Range: $140K - $180K

PAR Technology

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