Backend Developer

We are looking for a Backend Developer with strong foundations in algorithms and data structures, ideally shaped by a background in competitive programming. You ll work on building scalable backend systems while integrating AI/ML capabilities into real-world products.

Key Responsibilities

• Design, develop, and maintain high-performance backend services and APIs
• Build scalable systems capable of handling large datasets and real-time processing
• Integrate AI/ML models into backend pipelines (inference, optimization, deployment)
• Write efficient, optimized code with strong attention to time and space complexity
• Collaborate with data scientists and frontend engineers to deliver end-to-end solutions
• Optimize system performance, reliability, and scalability
• Participate in system design, code reviews, and technical discussions

Required Skills

• Strong programming skills in C++ / Python / Java
• Solid understanding of Data Structures & Algorithms (CP-level proficiency preferred)
• Experience with backend frameworks like FastAPI / Flask / Node.js / Spring Boot
• Knowledge of REST APIs, microservices architecture, and distributed systems
• Familiarity with databases: SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/Redis)
• Experience with Git, CI/CD pipelines, and version control workflows

AI/ML Requirements

• Basic to intermediate understanding of Machine Learning / Deep Learning concepts
• Experience using frameworks like TensorFlow / PyTorch / scikit-learn
• Ability to integrate pretrained models into backend systems
• Familiarity with model deployment tools (e.g., Docker, APIs, model serving)

Preferred Qualifications

• Competitive programming experience (e.g., Codeforces, LeetCode, AtCoder)
• Experience with system design and scalable architecture
• Knowledge of cloud platforms like Amazon Web Services, Google Cloud, or Microsoft Azure
• Familiarity with message queues (Kafka, RabbitMQ)
• Exposure to real-time systems or high-frequency data processing

Nice to Have

• Experience with LLM APIs (e.g., OpenAI, open-source LLMs)
• Knowledge of vector databases (FAISS, Pinecone)
• Experience with Kubernetes and container orchestration
• Contributions to open-source or strong GitHub profile