SDE III - Backend

New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
AWSPythonSQLJavaSpring BootRESTful APIsMicroservices

Requirements

  • Strong experience in designing and developing scalable REST-based micro-services and APIs using Java (Spring Boot) and Python.
  • Strong experience with SQL, database design, and query optimization.
  • Experience working with AWS services such as EC2, RDS and Lambda.
  • Hands-on experience building AI-powered applications or workflows in production environments.
  • Practical understanding of Retrieval-Augmented Generation (RAG) architectures.
  • Experience designing and building AI agents, copilots, workflow assistants, or intelligent automation systems.
  • Understanding of tool-calling, context management, prompt design, structured outputs, and hallucination mitigation techniques.
  • Ability to design end-to-end AI-powered solutions that combine deterministic systems with LLM-driven reasoning.
  • Prior experience mentoring engineers and leading technical initiatives.

Responsibilities

  • Design, build and integrate scalable and reliable backend systems based on business and product requirements.
  • Identify and resolve bottlenecks, bugs, and operational issues.
  • Drive improvements in scalability, performance, reliability, observability, and cost optimization.
  • Create prototypes and proof-of-concepts for new products and features and AI initiatives.
  • Take complete ownership of projects from design through deployment and production support.
  • Collaborate closely with Product Managers, Business Analysts, QA teams, and other engineering teams.
  • Lead the establishment and evolution of AI Engineering capabilities, including architecture, tooling, and development standards.
  • Define and drive the AI technology stack for scalable and secure adoption.
  • Architect systems that combine LLMs, retrieval systems, business logic, databases, APIs, and operational tooling.
  • Mentor and guide engineers on backend architecture, AI system design, and implementation best practices.
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