About the Role

We are looking for a highly motivated Backend Developer with 1–3 years of experience who enjoys building scalable, reliable, and high-performance backend systems. The ideal candidate has a strong understanding of software architecture, API development, and cloud-native applications, while effectively leveraging AI to accelerate software development, testing, and automation.

In addition to backend engineering, you should have hands-on exposure to modern AI technologies, Large Language Models (LLMs), and agentic AI frameworks. You will work on building intelligent, AI-powered enterprise applications and services.

Responsibilities

Design, develop, and maintain scalable backend services and RESTful APIs.

Build secure, high-performance, and maintainable microservices and distributed systems.

Participate in system design discussions and contribute to scalable software architecture.

Develop robust backend services that integrate with AI models and LLM platforms.

Build APIs and orchestration layers for AI agents and intelligent workflows.

Use AI-assisted development tools (GitHub Copilot, Cursor, ChatGPT, Claude, Gemini, or similar) to improve development productivity.

Write comprehensive unit, integration, and API tests using AI-assisted testing techniques where appropriate.

Optimize backend applications for scalability, reliability, performance, and cost.

Monitor and troubleshoot production systems and implement long-term improvements.

Collaborate with frontend developers, AI engineers, DevOps engineers, and product teams throughout the software development lifecycle.

Participate in code reviews and continuously improve engineering practices.

Required Qualifications





Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

1–3 years of professional experience in backend software development.

Strong programming skills in Python is mandatory.

Experience with Go, Java, Node.js, or C# is an added advantage.

Experience designing and developing RESTful APIs and backend services.

Good understanding of software engineering principles, object-oriented programming, design patterns, and clean architecture.

Strong understanding of scalable system architecture, distributed systems, and backend application design.

Experience working with SQL and/or NoSQL databases.

Familiarity with Git and collaborative software development workflows.

Understanding of authentication, authorization, API security, and application security best practices.

Experience using AI tools to improve coding, debugging, documentation, testing, and code reviews.

AI & LLM Knowledge (Required)

The ideal candidate should have working knowledge of modern AI technologies and should be comfortable building applications powered by Large Language Models.

Good understanding of Generative AI and Large Language Models (LLMs).

Knowledge of Agentic AI concepts, AI agents, multi-agent systems, and autonomous workflows.

Experience using AI orchestration frameworks such as LangChain,



LlamaIndex, CrewAI, AutoGen, or similar.

Familiarity with Langfuse (or equivalent observability platforms) for LLM tracing, monitoring, evaluation, and prompt management.

Understanding of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search.

Working knowledge of PyTorch and deep learning fundamentals.

Experience integrating with commercial or open-source LLMs such as OpenAI, Anthropic, Google Gemini, Meta Llama, DeepSeek, Mistral, or similar models.

Familiarity with AI model evaluation, token optimization, and inference performance is a plus.

Preferred Skills

Experience with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.

Experience with Docker, Kubernetes, and containerized deployments.

Familiarity with CI/CD pipelines and DevOps practices.

Experience with messaging systems such as Kafka, RabbitMQ, or Pub/Sub.

Knowledge of Redis or other caching technologies.

Experience with observability tools, logging, monitoring, and distributed tracing.

Exposure to AI governance, model lifecycle management, and LLMOps is an advantage.

What We're Looking For

Strong problem-solving and analytical skills.

Passion for building scalable enterprise systems.

Curiosity to explore emerging AI technologies and rapidly adapt to new tools.

Ability to understand complex architectures and design robust backend solutions.

Solid ownership, accountability, and attention to quality.

Excellent communication and collaboration skills.

Enthusiasm for building AI-first products that solve real-world business problems.

📌 Backend Developer (AI-First) 1-3 Years Experience (Bengaluru)
🏢 CloudNuro
📍 Bengaluru