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Tier-1 brand, metro locations, and mid-level fullstack role increase applicant competition.
Fullstack and LLM/async skills transfer across industries, though supply-chain domain knowledge mildly matters.
Explicit 4–7 years plus mandatory LLM, async, and distributed-systems skills create strict filters.
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Design and build agentic AI workflows with multi-step reasoning, tool-use integrations, and human-in-the-loop processes.
Develop and maintain backend services (REST, streaming APIs) and frontend user interfaces to support real-time AI agent interactions and visibility.
Architect robust asynchronous orchestration layers handling retries, timeouts, failures, and collaborate cross-functionally on AI-powered product reliability and observability.
4-7 years of full-stack software engineering experience (frontend and backend).
Proficiency in TypeScript or JavaScript development.
Experience building production applications using large language model (LLM) APIs, prompt engineering, and implementing agentic patterns like ReAct or multi-agent systems.
Knowledge of asynchronous or streaming system design with WebSockets, Server-Sent Events, or queues and distributed systems concepts such as idempotency and eventual consistency.
Experienced in designing complex AI-driven workflows and orchestration with fault tolerance and observability.
Skilled at both backend resilience and frontend clarity to enable user trust and guidance of AI agents.
Familiar with advanced LLM tool-use frameworks, evaluation tooling, and workflow orchestration platforms in AI-native or automation product environments.