Software Engineer

Key Responsibilities

• Design, develop, test, and maintain scalable, production-ready software applications.
  
• Build frontend, backend, or full-stack solutions using React, Node.js, and/or Golang.
  
• Design and develop REST APIs, GraphQL APIs, microservices, and event-driven applications.
  
• Build reliable distributed systems with a focus on scalability, performance, and maintainability.
  
• Participate in architecture discussions, technical design, code reviews, and documentation.
  
• Utilize modern AI-assisted development tools to improve coding efficiency, testing, debugging, and documentation.
  
• Develop and integrate AI-powered features, workflows, and intelligent automation into applications.
  
• Integrate LLMs, AI APIs, and machine learning services while ensuring security, monitoring, and reliability.
  
• Troubleshoot production issues and optimize application performance.
  
• Mentor junior developers and contribute to engineering standards and best practices.
  

Requirements

• ​
  
• 3–6 years of professional software development experience.
  
• Strong proficiency in at least one of React.js ,Node.js, Golang
  
• Experience building applications using Microservices or Distributed System Architecture.
  
• Hands-on experience with REST APIs, GraphQL, gRPC, or event-driven systems.
  
• Practical experience using AI-assisted coding tools (GitHub Copilot, Cursor, Claude Code, Windsurf, etc.).
  
• Experience developing AI-enabled applications, such as:
  
• AI-powered product features
  
• LLM integrations
  
• Retrieval-Augmented Generation (RAG)
  
• AI Agents
  
• AI workflow automation
  
• Good understanding of software engineering principles, testing, debugging, version control (Git), and CI/CD.
  
• Ability to independently own features from design through deployment.
  
• Strong analytical, communication, and collaboration skills.
  

Nice-to-Have Skills

• Experience with AWS, Azure, or Google Cloud Platform.
  
• Familiarity with Docker, Kubernetes, container orchestration, and cloud-native deployments.
  
• Experience with Kafka, RabbitMQ, or other messaging/event-streaming platforms.
  
• Knowledge of observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry.
  
• Understanding of distributed systems concepts including scalability, fault tolerance, and concurrency.
  
• Experience with vector databases, embeddings, prompt engineering, or AI model evaluation.
  
• Familiarity with AI governance, security, privacy, and cost optimization.
  
• Contributions to open-source projects or a strong technical portfolio are a plus.
  

Benefits