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Specialized GenAI platform skills and metro location create moderate applicant competition.
Role requires deep ML/LLM platform experience and compliance knowledge, so industry transferability is low.
Explicit 7–8 year requirement plus mandatory GenAI, AWS, and compliance skills make shortlisting highly strict.
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Design, build, and operate a production-grade, multi-tenant AI platform using AWS services to enable deployment and scaling of AI agents across PAR’s restaurant products.
Develop and maintain GenAI microservices, multi-agent workflows, and automated content ingestion pipelines with focus on performance, scalability, security, and compliance.
Own platform APIs, developer tooling, onboarding copilot, observability stack, policy-as-code enforcement, and governance including SOC 2, PCI DSS, GDPR, and CCPA compliance.
7–8 years of hands-on Machine Learning/AI Engineering experience with at least 3 years on production GenAI or LLM systems.
Master's degree in Computer Science, Machine Learning, or a closely related field.
Proven experience designing and building multi-tenant, production-grade ML/AI platforms or developer-facing AI infrastructure.
Location: Gurugram or Jaipur, India (Hybrid).
Deep technical expertise in building AI platform components with strong experience in orchestration, RAG pipelines, and multi-model routing at production scale.
Experienced in collaborating across teams and simplifying complex technical concepts for technical and non-technical stakeholders.
Demonstrated leadership through mentoring, technical domain ownership, and contributing to architectural decisions in greenfield AI platform projects.