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Mid-level LLM role in Gurugram with common 4–7yr band and technical scope drives high applicant density.
Specialized LLM production experience, RAG/agents and EN/AR context limits transferability across industries.
Explicit 4–7yr requirement plus mandatory LLM production experience and specific tech stack increases filter strictness.
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Deliver an LLM-powered feature into production within the first 90 days of joining MoxSuite.
Develop and enhance bilingual English/Arabic AI assistant components into reusable, enterprise-grade modules.
Implement evaluation metrics, guardrails, and telemetry for client-facing AI workflows to ensure robustness and monitoring.
4 to 7 years of relevant experience working with AI applications, specifically with LLM-powered systems.
Proven experience shipping LLM applications to production users, including RAG, agents, or assistants.
Strong Python programming skills and experience with at least one production stack (Node.js/TypeScript preferred).
Experience with evaluation, guardrails, and observability tools for AI systems; must treat AI software with software engineering rigor.
Has practical experience operating in a bilingual English/Arabic content environment, preferably with understanding of GCC market context.
Operates with a software engineering mindset towards AI rather than experimental or academic — focused on production-readiness and user impact.
Comfortable working in a hybrid, startup-like environment building core AI intelligence for enterprise clients with fast, iterative delivery.