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Korza

AI Engineer - L4

Posted 22 days ago
5-10 years experience
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AI Summary

Design and own scalable backend services and high-performance APIs for enterprise AI applications. Build and optimize infrastructure for AI agents, RAG pipelines, and enterprise automation workflows.

What You’ll Do

  • System Ownership: Design, develop, and own scalable backend services and high-performance APIs for enterprise AI applications.

  • Production-Grade AI Systems: Develop robust backend architectures integrating Large Language Models, vector databases, retrieval systems, and external APIs.

  • Agent & RAG Infrastructure: Build and optimize backend infrastructure powering AI agents, RAG pipelines, and enterprise automation workflows.

  • Architecture & Reliability: Make key architectural decisions, troubleshoot complex technical challenges, and continuously improve system scalability, monitoring, and performance.

  • Leadership & Mentorship: Lead technical discussions, collaborate across AI/ML and product teams, and mentor junior engineers while fostering engineering excellence.

What We’re Looking For

  • Senior Backend Expertise: 5+ years of backend software engineering experience with strong proficiency in Python and modern frameworks like FastAPI, Flask, or Django.

  • System Design & Databases: Deep understanding of database design, data modeling, microservices, and distributed systems architecture.

  • Generative AI Systems: Hands-on experience building Generative AI applications, LLM integrations, RAG architectures, or agentic frameworks.

  • Engineering Standards: Proven track record writing clean, maintainable, and testable code following enterprise-grade engineering best practices.

  • Problem-Solving & Ownership: Strong analytical skills and the ability to work independently in a fast-paced environment while translating business needs into technical solutions.

Why Join Us

  • Cutting-Edge AI Systems: Work on high-stakes, genuine AI engineering problems and build architectures powering Fortune 100–1000 organizations.

  • Architectural Leadership: Opportunity to shape platform architecture, set engineering standards, and influence core product strategy from an early stage.

  • Core Engineering Ownership: Be a key engineering leader in our Bangalore hub, collaborating with global AI leaders backed by top-tier investors.

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