Backend Engineer

Responsibilities:
Design, develop, and maintain scalable backend services and APIs.
Build reliable, high-performance applications with clean and maintainable code.
Develop AI-enabled features and integrate LLMs or AI services where required.
Design scalable microservices and distributed systems.
Collaborate with product, engineering, and AI teams to deliver new features.
Optimize application performance, scalability, and reliability.
Write unit tests and participate in code reviews.
Troubleshoot production issues and continuously improve system performance.
Requirements:
Candidates should have experience in any one of the following combinations:
Option 1 Python, FastAPI, and AI/LLM integration.
Option 2 Python, FastAPI, React.js / JavaScript / Node.js, AI/LLM integration.
Option 3 Java / Python / Golang, Distributed Systems, REST APIs, Microservices.
Option 4 Java/Python/Golang, AI/LLM integration, backend development.
Preferred Qualifications:
5-10 years of software development experience.
Strong understanding of data structures and algorithms.
Experience with REST APIs and microservices.
Knowledge of SQL/NoSQL databases.
Experience with cloud platforms (AWS/GCP/Azure) is a plus.
Familiarity with Docker, Kubernetes, and CI/CD pipelines.
Strong problem-solving and debugging skills.
Excellent communication and collaboration skills.
Tech Stack:
Backend: Python + FastAPI + AI.
Full Stack: Python + FastAPI + React/JavaScript/Node.js + AI.
Core Backend: Java/Python/Golang + Distributed Systems.
Backend: Java/Python/Golang + AI.

Experience
5-9 yrs