Senior AI Platform Engineer

PAR Technology Corporation

Job Overview

Location

Gurugram

Job Type

Full-time

Full Job Description

📋 Description

• Design, build, and operate a production-grade, multi-tenant AI Platform on AWS using LLM orchestration services, tools, and libraries.
• Build the PAR Restaurant AI Platform - a dual-purpose system that at build time gives product engineering teams the APIs, SDKs, tool registry, and knowledgebase services to author and deploy agents, and at runtime hosts those agents in production across all PAR product lines with multi-tenant isolation, security guardrails, content safety, governance, and compliance controls.
• Design and build production-grade GenAI microservices (e.g. FastAPI) and stateful multi-agent workflows, including selection of the appropriate orchestration pattern (model-driven, graph-based etc.) based on auditability, latency, and complexity requirements of each agent class.
• Design and operate an automated content ingestion pipeline that includes content upload, chunking, embedding model selection, vector storage, and OpenSearch Serverless indexing - exposing knowledgebase retrieval as a fully managed, self-service capability for all product teams.
• Build and maintain the platform APIs and developer tooling, including MCP-compatible tool interfaces, real-time streaming APIs (SSE / WebSocket), and agent configuration SDKs, that allow engineers to create, deploy, run, and observe multi-agent workflows with configurable guardrails and content safety controls per agent class.
• Own internal AI SDK ergonomics for both audiences: agent-authoring engineers and application-backend engineers consuming the streaming invocation API.
• Build and maintain the Platform Onboarding Copilot (Slack-integrated); produce clear, actionable technical documentation and architectural decision records (ADRs); present platform strategy to non-technical stakeholders.
• Own the platform observability stack as a product, not an afterthought. Provides platform tools for engineers to fetch observability metrics, and distributed traces auto-provisioned on every agent deployment; an LLM eval suite (e.g. LangSmith, Ragas) that gates CI/CD on quality regressions; and per-tenant cost attribution with spend alerting giving every engineering team full visibility into their inference consumption.
• Define quality bars and eval suites per agent class; no agent reaches production without a documented, passing score threshold, thereby establish evaluation as a first-class engineering discipline across the team.
• Govern multi-tenant isolation from day one, including namespace isolation, tenant_id injection, and policy-as-code enforcement ensuring there is no cross-brand data or context pollution.
• Own the policy-as-code library for PAR-specific policy sets covering PAR Restaurant product lines while ensuring platform compliance with SOC 2 Type II, PCI DSS, GDPR, and CCPA; author and maintain the GDPR deletion pipeline.
• Define and implement content safety guardrails: grounding checks and content filtering mandatory for all customer-facing agents.
• Act as the quality and cost-economics gatekeeper for all agents entering pre-production, such as running standardised eval suites, enforcing agent best practices, and validating inference cost-per-run against approved thresholds before any agent is cleared for production deployment.
• Collaborate with DevOps (owners of CI/CD automation) through a well-defined infrastructure contract and build version promotion pipeline (e.g. GitHub Actions).

🎯 Requirements

• 7–8 years of hands-on Machine Learning / AI Engineering experience, with at least 3 years focused on production GenAI or LLM systems.
• Master's in Computer Science, Machine Learning, or a closely related field.
• Demonstrated experience designing and building multi-tenant, production-grade ML platforms or developer-facing AI infrastructure.
• Proven track record of shipping ML systems end-to-end, from architecture and deployment through to operational observability, eval pipelines, and cost management.

🏖️ Benefits

• Flexible work arrangements, including hybrid work options.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

Skills & Technologies

Python

JavaScript

TypeScript

Node.js

Express

Senior

Hybrid

Degree Required

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PAR Technology Corporation

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About PAR Technology Corporation

PAR Technology Corporation provides cloud-based point-of-sale and back-office software, integrated hardware, and professional services for restaurants and retail chains worldwide. The Brink POS and PAR Data Central platforms manage orders, inventory, labor, and customer engagement across corporate and franchise locations, while rugged terminals and kitchen systems ensure reliable operations. Founded in 1968, the company supports multi-unit brands such as Taco Bell, Subway, and Arby’s with scalable solutions, analytics, and 24/7 support to improve efficiency and guest experience.

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