PAR Technology

2 weeks ago

Staff AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 40 minutes agoStatus: Live

Job Summary

Build and scale PAR’s next-generation AI Platform so engineering teams can develop, deploy, and operate AI agents, agentic workflows, and GenAI-powered applications. Design scalable AI platform services, APIs, SDKs, and microservices across a .NET codebase, including agent orchestration and secure multi-tenant capabilities. Deliver production-grade RAG pipelines, real-time streaming interfaces, evaluation and observability, and cost optimization while partnering with Product, Engineering, and DevOps.

Location: Gurugram, Jaipur

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

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 to accelerate adoption.

Key Requirements

•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.

Experience:7+ years

Skills:CommunicationCollaborationTechnical leadership

Tech Stack:Python.NETMarkdown.NET codebaseAI agentsAgentic workflowsGenAIMicroservicesAPIsSDKsMCPRAGVector searchSemantic searchMulti-tenantGovernanceGuardrailsContent safetyPolicy enforcementStreaming APIs

Company Brief

PAR Technology

Provides unified software, hardware and services for restaurant and retail operations, including POS, digital ordering, loyalty, back-office, payments and hardware solutions for chains and independent operators worldwide.

Industry: Restaurants & Food Service

Company Size: Enterprise (1,001+ employees)

Revenue: USD 100M to 250M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New Hartford, United States

Founded: 1968

Glassdoor: 3.7

Website LinkedIn

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PAR Technology

2 weeks ago

Staff AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 40 minutes agoStatus: Live

Job Summary

Location: Gurugram, Jaipur

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

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 to accelerate adoption.

Key Requirements

•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.

Experience:7+ years

Skills:CommunicationCollaborationTechnical leadership

Company Brief

PAR Technology

Industry: Restaurants & Food Service

Company Size: Enterprise (1,001+ employees)

Revenue: USD 100M to 250M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New Hartford, United States

Founded: 1968

Glassdoor: 3.7

Website LinkedIn