AI Engineer - L4

What You’ll DoSystem 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 ForSenior 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 UsCutting-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.