Software Engineer&#34

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.