As an AI Backend Developer, you will help design, develop, and maintain scalable backend systems that power AI-driven platforms, intelligent applications, and enterprise software. You will leverage your expertise in backend development, APIs, databases, cloud technologies, and artificial intelligence to build secure, high-performance services that integrate seamlessly with modern AI models and machine learning workflows.

Your responsibilities may include developing backend APIs, integrating Large Language Models (LLMs), building Retrieval-Augmented Generation (RAG) systems, designing scalable databases, optimizing application performance, implementing AI workflows, deploying backend services, and collaborating with frontend developers, AI engineers, and product teams to deliver reliable AI-powered solutions. Responsibilities

Design, develop, and maintain scalable backend services for AI-powered applications. Build secure and high-performance RESTful APIs and microservices.

Integrate Large Language

Models (LLMs) and AI services into backend applications.

Develop

Retrieval-Augmented Generation (RAG) systems using vector databases. Design and optimize relational and NoSQL database architectures. Build authentication, authorization, and secure API access mechanisms.

Develop AI-powered backend workflows for automation and intelligent processing. Optimize backend performance, scalability, and reliability for production environments. Integrate third-party APIs, cloud services, and enterprise systems.

Monitor, debug, and troubleshoot backend services and production issues. Collaborate with frontend developers, AI engineers, DevOps engineers, and product teams throughout the software development lifecycle. Follow backend engineering best practices, maintain documentation,



and continuously learn emerging AI and backend technologies.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field. Strong understanding of backend software development principles. Good analytical and problem-solving skills.

Proficiency in Python, JavaScript/TypeScript, Java, Go, or similar backend programming languages. Basic understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts. Familiarity with REST APIs, databases, authentication, and server-side architecture.

Understanding of data structures, algorithms, and object-oriented programming. Excellent written and verbal communication skills. Ability to quickly learn new backend frameworks and AI technologies. Prior internship, academic projects, or backend development experience is preferred but not mandatory.

Preferred

Qualifications

Experience with Node.js, Express.js, NestJS, FastAPI, Flask, Django, Spring Boot, or similar backend frameworks.

Experience integrating OpenAI, Claude, Gemini, or other LLM APIs. Knowledge of Prompt Engineering, AI Agents, and Retrieval-Augmented Generation (RAG).

Experience with vector databases such as Pinecone, FAISS, Weaviate, ChromaDB, or Qdrant. Familiarity with SQL and NoSQL databases including PostgreSQL, MySQL, MongoDB, Redis, or Elasticsearch.

Experience with Docker, Kubernetes, Git,



and CI/CD pipelines. Familiarity with AWS, Microsoft Azure, or Google Cloud Platform. Understanding of distributed systems, caching, message queues, and scalable backend architecture. Basic knowledge of MLOps concepts and AI model deployment. Strong attention to detail with a commitment to building secure and reliable backend systems. Skills

Backend Development Python Node.js TypeScript Java Go FastAPI Express.js NestJS Django REST APIs GraphQL SQL PostgreSQL MySQL MongoDB Redis Artificial Intelligence Machine Learning Large Language Models (LLMs) Generative AI Prompt Engineering LangChain AI Agents Retrieval-Augmented Generation (RAG) Vector Databases Docker Kubernetes Git & Version Control AWS Azure Google Cloud CI/CD Problem Solving Team Collaboration Communication Skills Compensation

Projects are compensated based on complexity and duration, with earnings ranging from ₹150/hour to ₹800/hour. What You'll Gain

Build scalable backend infrastructure powering next-generation AI applications and enterprise platforms. Gain hands-on experience with Large Language Models (LLMs), Generative AI, AI Agents, and Retrieval-Augmented Generation (RAG). Learn up-to-date backend architecture, cloud-native development, distributed systems, and production AI deployments.

Work alongside experienced backend engineers, AI engineers, cloud architects, and product teams. Develop expertise in secure API development, scalable backend engineering, AI integrations, and cloud technologies. Build a strong foundation for career growth in Backend Engineering, AI Backend Development, Platform Engineering, Cloud Engineering, AI Infrastructure, Distributed Systems, or Solutions Architecture.

📌 AI Backend Developer (Chennai)
🏢 Data Eminence
📍 Chennai