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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. About The Role PAR is looking for a Staff AI Platform Engineer to build and scale our next-generation AI Platform that enables engineering teams to rapidly develop, deploy, and operate AI agents, agentic workflows, and GenAI-powered applications across PAR's restaurant technology products. This role is ideal for an ML engineer enthusiast who knows both Python and .NET Platform, who is passionate about cloud-native architecture, distributed systems, developer platforms, and Generative AI. You will help build reusable AI services, orchestration frameworks, SDKs, and platform capabilities that power enterprise-grade AI solutions. Key Responsibilities Design and build scalable AI platform services, APIs, SDKs, and microservices using markdown and Python supporting a .NET codebase. Develop Agentic AI capabilities, including multi-agent orchestration, agent lifecycle management, tool integration (MCP), memory, planning, reasoning, and workflow automation. Build production-grade RAG pipelines, knowledge retrieval services, vector search, and semantic search capabilities. Develop secure, multi-tenant AI platform services with governance, guardrails, content safety, and policy enforcement. Build real-time streaming APIs, AI evaluation pipelines, observability, monitoring, and cost optimization for AI workloads. Collaborate with Product, Engineering, and DevOps teams to build reusable AI capabilities and accelerate AI adoption across the organization. What We're Looking For 7+ years of software engineering experience with strong expertise in ML/Python/agents and .NET. Experience building scalable backend platforms, microservices, distributed systems, and cloud-native applications. Hands-on experience with AWS, Kubernetes, Docker, REST APIs, and CI/CD. Experience with LLMs, Agentic AI, RAG architectures, LangChain, LangGraph, Amazon Bedrock, OpenAI, Anthropic, or similar AI frameworks. Understanding of AI orchestration, prompt engineering, vector databases, AI security, and observability. Strong communication, collaboration, and technical leadership skills. Preferred Skills AWS (EKS, Lambda, API Gateway, Bedrock, S3, CloudWatch, IAM) .NET Core, FastAPI LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI MCP (Model Context Protocol), A2A (Agent-to-Agent) protocols Vector databases (OpenSearch, Pinecone, Weaviate) OpenTelemetry, LangSmith, Ragas GitHub Actions, Terraform, Kubernetes Why Join PAR? Join a greenfield AI Platform team building the foundation for enterprise-scale Agentic AI . You'll help create reusable AI services, multi-agent orchestration, developer platforms, and intelligent automation capabilities that will power the next generation of PAR's restaurant technology products while working with cutting-edge AI technologies and global engineering teams. Interview Process Interview #1: Phone Screen with Talent Acquisition Team Interview #2: Video interview with the Technical Teams (via MS Teams/F2F) Interview #3: Video interview with the Technical Teams (via MS Teams/F2F) Interview #4: Video interview with the Hiring Manager (via MS Teams/F2F) 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.