Backend Software Architect

21 hours ago

Kozhikode, Kerala, India beBeeEngineer Full time ₹ 1,50,00,000 - ₹ 2,10,00,000
Job Opportunity

We're looking for an experienced Backend Engineer to join our team.

The ideal candidate will have a strong background in Python, FastAPI, and cloud-native infrastructure. They will be responsible for designing, building, and scaling high-performance backend systems, as well as integrating Large Language Model (LLM) pipelines into backend services.

Key Responsibilities
  • Design and Develop Scalable Backend Systems: Create efficient, modular architecture aligned with product goals using Python (FastAPI).
  • Cloud Deployment and Optimization: Deploy, monitor, and optimize cloud-native applications on AWS or Azure for reliability and scalability.
  • LLM Integration and Collaboration: Collaborate with AI and product teams to integrate LLM pipelines (e.g., LangChain, LlamaIndex) into backend services.
  • Leadership and Engineering Culture: Lead projects independently, mentor junior engineers, set code quality standards, and contribute to a fast-paced engineering culture.
About the Role

This is a challenging opportunity for a seasoned Backend Engineer to take on new responsibilities and grow with our company. If you have a passion for developing scalable systems, integrating AI models, and pushing the boundaries of system design, we encourage you to apply.

Requirements
  • 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.

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