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Mid-level backend role in Bangalore with broad AI requirements and a recognized employer increases competition.
Backend production and AI orchestration skills transfer across industries but benefit from industrial domain knowledge.
Explicit 6–10 years plus mandatory Python, high-concurrency, Kubernetes and AI production requirements raise strictness.
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Lead design and development of production-grade Context Services enabling low-latency APIs and services supporting thousands of concurrent users.
Bridge Applied Scientists/AI Engineers and Platform Engineering teams to deploy AI/ML/LLM solutions with reliable orchestration and state management.
Drive platform integration and technical innovation through architecture design, prototyping, and contributions to scalable AI pipelines and workflows.
6–10 years of industry experience in Software Engineering, Backend Engineering, or Systems Engineering with exposure to AI/ML/LLM production systems.
Strong proficiency in Python with experience in high-concurrency applications, asynchronous programming, and REST/gRPC APIs.
Experience with containerization (Docker) and modern deployment environments such as Kubernetes or cloud platforms.
Work Experience Required: 6–10 years
Experienced in architecting scalable backend systems for AI/ML/LLM workloads with focus on performance and reliability under high concurrency.
Operates effectively cross-functionally to translate complex industrial data insights into robust technical solutions integrating platform capabilities.
Has solid understanding of AI lifecycle components like model serving, vector databases, and LLM orchestration frameworks or demonstrates strong aptitude to learn them quickly.