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Mid-senior Bangalore backend role with AI skills and generalist demand yields moderate competition.
Requires backend and AI integration experience, moderately transferable across industries.
Mandatory 5–10 years, Python plus another language, backend and AI integration skills make filters stringent.
Design, develop, and deliver AI-powered application features and services within a cloud-scale environment.
Build and integrate AI capabilities such as LLM-based features, automation workflows, and intelligent user experiences into applications.
Own engineering initiatives end-to-end, ensuring performance, scalability, reliability, and high availability of distributed backend systems and APIs.
5 to 10 years of experience in software engineering roles building scalable applications.
Strong proficiency in Python and at least one other language: Java, Go, or C++.
Experience developing backend systems, APIs, microservices architectures, and integrating AI/ML capabilities into applications.
Experience with containerization and orchestration technologies.
Experienced in building AI-powered application features, especially using LLMs, RAG systems, or AI agents.
Capable of working on scalable, distributed backend services at cloud scale with strong system design skills.
Familiar with AI-specific technologies like vector databases, embedding models, orchestration frameworks (e.g., LangChain), and observability tools for AI applications.