Senior Backend Engineer (AI)

About Us At GenAI Labs IP India Pvt Ltd , we’re reimagining how Private Equity and consulting teams work—by building intelligent AI-native workflows and agentic platforms tailored to the real-world needs of high-performance teams. Our mission is to accelerate value creation through cutting-edge AI, system design, and product craftsmanship. We're a fast-growing startup building at the intersection of LLMs, infrastructure, and human-AI collaboration. Role Overview We are looking for a Senior Backend Engineer who can own core backend systems, ship fast, and build scalable infrastructure to power intelligent agent workflows and AI-native applications. If you enjoy designing production-grade systems, scaling real-world AI workloads, and diving deep into systems design—this role is for you. Key Responsibilities Design and Scale Backend Systems: Build and scale high-performance backend systems using Python (FastAPI), ensuring modular, efficient architecture aligned with product goals. Cloud Deployment and Optimization: Deploy, monitor, and optimize cloud-native applications on AWS or Azure for reliability and scalability. LLM Integration and Collaboration: Work closely with AI and product teams to integrate LLM pipelines (e.g., LangChain, LlamaIndex) into backend services. Leadership and Engineering Culture: Independently lead projects, mentor junior engineers, set code quality standards, and contribute to a fast-paced, high-ownership engineering culture. Must-Have Qualifications Backend Expertise: 5+ years of experience in Python, with strong proficiency in FastAPI, and solid CS fundamentals including data structures, algorithms, system design, and design patterns. Scalable Systems: Proven ability to design and scale production-grade systems, with a deep understanding of architecture and trade-offs. Cloud Proficiency: Hands-on experience with AWS or Azure, including deployment, CI/CD, observability, and cost optimization. AI & Ownership: Strong ownership mindset with experience delivering end-to-end solutions, including AI-native backends using LangChain, LlamaIndex, etc. Experience with agent frameworks like Autogen, Semantic Kernel, CrewAI, or AutoChain, along with exposure to vector databases, embedding pipelines, and retrieval-based systems. Background in FinTech or internal tools, with a strong passion for developer experience and infrastructure innovation. Perks & Benefits Industry-leading pay with performance-based rewards. Work on cutting-edge AI applications with global impact and real-world use cases. Join a remote-first, fast-paced team with direct influence on product and architecture decisions. Think you’re a fit? Apply now and let’s build something extraordinary together. Show more Show less