Staff AI Engineer

PAR Technology; Jaipur; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

PAR Technology Corporation is seeking a Staff AI Platform Engineer to design and scale an enterprise-grade AI platform that empowers engineering teams to rapidly develop, deploy, and operate AI agents and GenAI-powered applications across PAR's restaurant technology products.

You'll work with Python and the .NET Platform, cloud-native architectures, and distributed systems, building reusable services, orchestration frameworks, SDKs, and secure, multi-tenant capabilities while collaborating

Qualifications

• 7+ years of software engineering with ML/Python/agents and .NET.
• Experience building scalable backend platforms, microservices, distributed systems.
• Hands-on with AWS, Kubernetes, Docker, REST APIs, and CI/CD.
• Experience with LLMs, Agentic AI, RAG architectures, LangChain, LangGraph, Bedrock, OpenAI, Anthropic, or similar frameworks.

Responsibilities

• Design and build scalable AI platform services, APIs, SDKs, and microservices for a .NET codebase.
• Develop Agentic AI capabilities: multi-agent orchestration, tool integration, memory, planning.
• Build production-grade RAG pipelines, 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.
• Collaborate with Product, Engineering, and DevOps to accelerate AI adoption across the organization.

Skills

ML/Python

Agents

.NET

Cloud-native

Tools

AWS

Kubernetes

Docker

REST APIs

CI/CD

Job description

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 [e-mail]. If you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.