Senior AI Platform Engineer
PAR Technology30 days ago
Jaipur, India or Gurgaon, IndiaSenior
Responsibilities
- Build and operate PAR’s multi-tenant AI platform for authoring, deploying, running, and scaling AI agents and agentic workflows.
- Design production GenAI microservices and stateful multi-agent workflows using appropriate model-driven or graph-based orchestration patterns.
- Build content ingestion, chunking, embedding, vector storage, and OpenSearch Serverless retrieval pipelines as a self-service knowledgebase capability.
- Develop platform APIs, MCP-compatible tool interfaces, streaming APIs, SDKs, configuration tooling, and the Slack-integrated Platform Onboarding Copilot.
- Own observability, distributed tracing, LLM evaluation, quality gates, per-tenant cost attribution, and spend alerting.
- Define multi-tenant isolation, policy-as-code enforcement, content-safety guardrails, governance controls, and compliance measures for SOC 2 Type II, PCI DSS, GDPR, and CCPA.
- Author and maintain the GDPR deletion pipeline and validate agent quality, best practices, and inference cost before production deployment.
- Collaborate with DevOps on infrastructure contracts and version-promotion pipelines.
- Create technical documentation and architectural decision records and communicate platform strategy to technical and non-technical stakeholders.
Requirements
- 7–8 years of hands-on Machine Learning or AI Engineering experience, including at least 3 years focused on production GenAI or LLM systems.
- Master’s degree in Computer Science, Machine Learning, or a closely related field.
- Experience designing and building multi-tenant production ML platforms or developer-facing AI infrastructure.
- Experience shipping ML systems end-to-end across architecture, deployment, observability, evaluation, and cost management.
- Deep AWS experience, including API Gateway, Amazon Bedrock AgentCore, Lambda, S3, CloudFront, EKS, Kubernetes, IRSA, OpenSearch Serverless, KMS, SageMaker, Step Functions, WAF, PrivateLink, CloudWatch, and IAM.
- Experience with LangChain, LangGraph, LlamaIndex, Hugging Face Transformers, OpenAI API, Anthropic API, and AWS-native GenAI services.
- Experience designing RAG and knowledge systems using vector stores and hybrid retrieval pipelines.
- Experience with MLflow, Databricks, PySpark, Delta Lake, notebooks, and automated retraining workflows.
- Expert-level Python and experience with FastAPI, Flask, or Django; proficiency with TypeScript, Node.js, Express, or NestJS.
- Experience with Delta Lake, Elasticsearch, Redis, NoSQL databases, columnar stores, and BigQuery.
- Experience with GitHub Actions, Terraform Cloud or HCP Terraform, and container-native development on EKS.
- Experience with CloudWatch, AWS X-Ray or equivalent distributed tracing, LangSmith, Ragas, or similar evaluation frameworks.
- Experience with policy-as-code, IAM policy design, multi-tenant namespace isolation, PCI DSS, and GDPR technical controls.
- Strong communication and collaboration skills, with experience mentoring engineers, leading design reviews, or owning a technical domain end-to-end.
- Preferred experience includes domain-specific LLM or embedding model development, enterprise Text-to-SQL, multi-agent orchestration, A2A protocols, n8n, LLM-specific observability, open-source ML or GenAI contributions, cloud policy-as-code, sprint planning, technical roadmaps, OKRs, people management, or tech leadership.
Benefits
- Hybrid work arrangement in Gurugram or Jaipur, India.
- Occasional collaboration with teams in California and Toronto time zones.
- Equal employment opportunities and reasonable accommodations are provided.
Tech Stack
AWSDatabricksDjangoElasticsearchExpressFastAPIFlaskGitHub ActionsGoogle BigQueryHugging Face TransformersKubernetesMLflowNestJSNode.jsPythonRedisTerraformTypeScript
Categories
About PAR Technology
PAR Technology (NYSE: PAR) builds software and hardware for multi‑unit restaurants and retailers, including point of sale, digital ordering, loyalty, payments, and back‑office systems. The company sells a SaaS platform with integrated devices and services used by over 100,000 restaurant locations worldwide. Founded in 1968 and headquartered in New Hartford, NY, PAR focuses on enterprise operators and franchises that need to manage performance across many locations.