Senior Software Engineer for AI-Native Applications

3 days ago

Varanasi, Uttar Pradesh, India beBeeArtificialintelligence Full time ₹ 18,00,000 - ₹ 30,00,000
AI Backend Developer

About Us

We are at the forefront of reimagining how Private Equity and consulting teams work—by building intelligent AI-native workflows and agentic platforms tailored to real-world needs. Our mission is to accelerate value creation through cutting-edge AI, system design, and product craftsmanship.

Role Overview

We are looking for an AI Backend Developer 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.

Benefits and Perks

  • 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.

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