Job Description
The core responsibilities for the job include the following:
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nBackend Engineering and Architecture:
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- Design and implement low-latency, high-availability, and performant backend services and APIs that power AI-enabled products.n
- Be the architect for your module; own the design, scalability, and reliability of backend systems end to end.n
- Write reusable, testable, and efficient code; enforce engineering best practices across the team.n
- Integrate user-facing elements developed by front-end developers with robust server-side logic and AI-powered workflows.n
- Implement security, data protection, and compliance standards across all backend services.n
- Integrate multiple data sources, databases, and third-party systems into unified, scalable backend architectures.n

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nAI-Native Development:
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- Build, maintain, and optimise AI-native backend applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, orchestration frameworks, and up-to-date AI platforms.n




- Design and implement robust data pipelines, vector databases, embedding strategies, knowledge retrieval systems, and model evaluation frameworks.n
- Develop scalable backend workflows and integrations that automate business processes and deliver measurable AI-driven value.n
- Implement observability, monitoring, prompt management, testing pipelines, and guardrails to ensure AI system quality, reliability, and compliance.n
- Optimise AI application performance, latency, scalability, and cost efficiency across cloud environments.n
- Evaluate, experiment with, and integrate new AI models, tools, and frameworks to continuously enhance product capabilities.n

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nRequirements:
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- 7+ years of experience in backend software engineering, with a strong focus on microservices design and implementation.n
- Hands-on experience building AI/ML or generative AI applications using technologies such as OpenAI, Anthropic, Gemini,

📌 Senior AI Native Backend Engineer (Bengaluru)
🏢 Sequoia
📍 Bengaluru