Senior AI-Native Systems Engineer

5 days ago

Tiruchi, Tamil Nadu, India beBeeBackend Full time ₹ 20,00,000 - ₹ 25,00,000

Experience the thrill of building AI-native workflows and intelligent agent platforms.

We're a team of innovators reimagining how Private Equity and consulting teams work by harnessing cutting-edge AI, system design, and product craftsmanship. Our mission is to accelerate value creation through AI-powered solutions that transform high-performance teams.

Role Overview

As a Senior Backend Engineer, you'll be responsible for owning core backend systems, shipping fast, and building 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 perfect 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.
  • Agent Frameworks: Experience with agent frameworks like Autogen, Semantic Kernel, CrewAI, or AutoChain, along with exposure to vector databases, embedding pipelines, and retrieval-based systems.
  • FinTech or Internal Tools: Background in FinTech or internal tools, with a strong passion for developer experience and infrastructure innovation.

Benefits

  • Industry-leading compensation 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.

About Us

We're a fast-growing startup at the intersection of LLMs, infrastructure, and human-AI collaboration.

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