Backend Developer (AI-First) 1-3 Years Experience

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. • Strong ownership, accountability, and attention to quality. • Excellent communication and collaboration skills. • Enthusiasm for building AI-first products that solve real-world business problems.