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Mid-level SDE title and metro location increase interest, moderated by niche Temporal/LLM orchestration requirements.
Specialized AI orchestration and Temporal expertise limit cross-industry transferability.
Several mandatory technical requirements (Temporal, LLM orchestration, Go/Python, distributed systems) make screening rigorous.
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Own and develop key components of kAIgentic's orchestration platform for running stateful, long-running AI workflows in enterprises.
Design and implement durable, observable, and recoverable workflow systems using Temporal and LangGraph coordination.
Ensure reliability and failure handling for critical workflow parts, including interrupt-and-resume patterns for human-in-the-loop workflows.
Experience building backend or infrastructure systems with demonstrated ownership of complex projects delivered end to end.
Strong proficiency in Go and Python programming languages.
Hands-on experience with durable execution engines (Temporal, Cadence or similar), LLM orchestration and self-correcting AI systems, distributed systems fundamentals, observability and tracing systems, gRPC and service mesh architectures.
AI-native velocity working mode is mandatory. Work Experience Required: Not explicitly mentioned in the JD.
Strong background in backend or infrastructure development for enterprise-scale AI orchestration systems.
Experienced in building robust, mission-critical, and observable distributed systems with durable execution and error handling capabilities.
Comfortable operating in high ambiguity, zero-to-one product environments emphasizing ownership, technical excellence, and customer impact.