Job DescriptionThe core responsibilities for the job include the following:
NBackend Engineering and Architecture:
N
n
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 effective 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 datasources, databases, and third-party systems into unified, scalable backend architectures. N

nAI-Native Development:
N
n
Build, maintain, and optimise AI-native backend applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, orchestration frameworks, and contemporary 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 applicationperformance, 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

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

📌 Hiring: Senior Ai Native Backend Engineer Karnataka
🏢 Sequoia
📍 Karnataka