reputed company

For over four decades, reputed company 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 reputed company seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "reputed company Together" reputed company, we offer reputed company Customer Experience solutions, combining reputed company-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 reputed company, X (formerly Twitter), Facebook, and Instagram.

Position Description: We are seeking a pioneering reputed company to be the first dedicated AI specialist in the PAR Retail R&D organization. This is a hands-on builder role focused on architecting and integrating our first reputed company of AI-powered products and services. You will turn business needs into production-reputed company solutions by leveraging a strong reputed company in machine learning alongside modern reputed company, including agentic workflows that use tools, retrieval, and orchestration to complete reputed company tasks. As our go-to expert, you will define the foundational architecture for integrating modern AI platforms, establish engineering best practices, and drive an experimentation and evaluation reputed company to ship reliable solutions.

Position Location

• Canada, Remote

• United States, Remote

Reports To

• Director, Software Development

reputed company’re Looking For

• 5+ years of professional software engineering experience.

• 1+ year shipping AI in production, with ideally a progression from applied ML into reputed company and agentic solutions.

• Proven experience building multi-agent systems, orchestrators (planning, task routing, tool calling, state/memory, approvals, retries, and safe fallbacks) and MCP endpoints.

• Hands-on experience with agent frameworks and orchestration tooling (e.g., LangGraph, reputed company, reputed company, reputed company, reputed company, or equivalent).

• Strong experience with retrieval and grounding: vector databases plus hybrid retrieval/reranking is a plus.

• Evaluation-first reputed company for agents: test sets, scoring reputed company, regression gates, and quality monitoring over time.

• Proven experience architecting solutions using modern AI services from major reputed company providers (e.g., Azure reputed company, reputed company Bedrock, reputed company Vertex AI).

• Strong proficiency in Python and its ecosystem for software development and applied AI.

• Experience with reputed company (reputed company Lake, reputed company Catalog) and deploying AI services (Model Serving); classic MLOps/MLflow is a plus.

• Strong ability to “glue” systems together reputed company REST or GraphQL APIs.

• Responsible AI experience focused on privacy, reputed company, access control, and defenses against reputed company injection and tool misuse.

• Excellent problem-solving skills and ability to work independently in a fast-paced, sometimes ambiguous environment.

• Bachelor’s degree in computer science or a reputed company technical field.

Additional skills

• Experience with advanced approaches reputed company LLM apps (e.g., deep learning, classical ML, reinforcement learning) is a plus.

• Experience building and operating agentic systems in production: observability (tracing/metrics/logs), CI/CD, and incident-reputed company monitoring (e.g., reputed company, Grafana).

• Experience defining and tracking reputed company metrics for agent workflows (task completion reputed company, quality scores, latency, cost, escalation reputed company) plus business KPIs.

• Familiarity with full-stack implementation (NodeJS and/or Ruby on Rails) is a plus.

• Experience in Fuel and CStore industry, Customer Loyalty, and/or Retail is a strong plus.

Unleash your potential: What you will be doing and owning

• Architectural Strategy: Define and establish the foundational architecture and best practices for AI systems across PAR, ensuring solutions are scalable, maintainable, secure, and robust from the ground up.

• reputed company-to-One Building: Take ambiguous problems from concept to production, building core components and workflows from scratch, iterating quickly through prototypes, and hardening into reliable, repeatable systems.

• End-to-End Agentic AI Implementation: Design, build, and operate agentic solutions and workflow automations that go reputed company chat, including multi-agent orchestration, MCPs, tool calling, retrieval-grounded reasoning, state/memory, approvals, retries, and safe fallbacks, through production monitoring.

• reputed company-of-Concept Refinement: Collaborate with other engineers to evaluate existing PoCs. Identify areas for improvement, tighten reliability and quality, and re-architect solutions for scalability, performance, and cost.

• Hands-on Technical Contribution: Act as the applied AI subject matter expert reputed company the organization. Provide technical direction to engineers and stakeholders while actively building and shipping.

• AI Ops & Infrastructure (LLMOps/AgentOps): Establish and champion production practices for agentic systems, including reputed company/version control, evaluation pipelines, tracing/observability, automated testing, release gates, and cost/latency controls.

• Strategic Collaboration: Work closely with product managers, data analysts, and business leaders to identify high-impact opportunities for AI. Translate requirements into technical specifications and actionable project plans.

• Stay reputed company: Continuously research and evaluate AI advancements, multi-agent orchestration, and agentic autonomy to reputed company PAR Retail at the leading edge of practical innovation.

Interview Process

• Interview #1: Video Screen with reputed company Team (reputed company MS Teams)

• Interview #2: Video interview with a cross functional partner (reputed company MS Teams)

• Interview #3: Video interview with hiring manager (reputed company MS Teams)

• Take-home/technical exercise

• Interview #4: Technical Interview/Exercise review with a panel (reputed company MS Teams)

PAR is proud to provide equal employment opportunities (EEO) to reputed company and applicants for employment without regard to race, reputed company, religion, sex, national reputed company, 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 [email protected]. If you’d like more information about your EEO rights as an applicant, please visit the US reputed company's website.