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Mid-level fullstack role in metros with strong brand and broad AI+fullstack requirements.
Requires agentic AI, LLM, and orchestration expertise, limiting cross-industry transferability.
Explicit 6–10 years plus mandatory full-stack, LLM, and distributed systems experience.
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Design and build agentic AI workflows including multi-step reasoning pipelines, tool integrations, and human-in-the-loop processes.
Develop backend services and frontend interfaces supporting real-time, asynchronous AI agent interactions with observability and error handling.
Contribute to product direction and collaborate across teams to build reliable AI-powered products at scale.
6-10 years of experience in full-stack software engineering (frontend and backend).
Proficiency in TypeScript or JavaScript for application development.
Experience with large language model (LLM) APIs, prompt engineering, and implementing agentic AI patterns like ReAct or plan-and-execute.
Experience building asynchronous or streaming systems (WebSockets, SSE, or queues) with distributed systems principles (idempotency, eventual consistency, backpressure).
Experienced in architecting complex AI workflows involving asynchronous orchestration with retries and rollback.
Familiar with AI-native product development, developer tools, and evaluation frameworks for LLMs.
Comfortable working in cross-functional teams to define and deliver observable, high-ownership AI solutions in enterprise environments.