Staff AI Engineer

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 100000 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 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 PARs restaurant technology products.

This role is ideal for an ML engineer enthusiast who knows both Python 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 Were 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. Youll help create reusable AI services multi-agent orchestration developer platforms and intelligent automation capabilities that will power the next generation of PARs 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 .If youd like more information about your EEO rights as an applicant please visit the US Department of Labors website.

Required Experience:

Staff IC