Software Engineer - Backend & AI Infrastructure

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Roles & Responsibilities:

• Design and develop scalable backend services and APIs using Node.js (Express.js / NestJS).
• Architect and maintain microservices for data-intensive and AI-integrated systems.
• Build and optimize RESTful, GraphQL, and gRPC APIs for cross-platform use.
• Collaborate with AI, frontend, and DevOps teams to deliver end-to-end product features.
• Work with databases (PostgreSQL, MongoDB, Redis) and design efficient data models.
• Implement containerized deployments using Docker and Kubernetes.
• Develop or assist in building internal tools / dashboards using modern frontend frameworks (React, Vue, Angular, or Svelte).
• Set up CI/CD pipelines and automate deployment processes.
• Learn and contribute to AI/ML integrations connecting with APIs and SDKs such as OpenAI, Hugging Face, AWS Bedrock, or LangChain.
• Participate in architecture discussions, code reviews, and performance tuning.

Required Skills & Experience:

• 3+ years of hands-on backend development experience using Node.js (TypeScript / JavaScript).
• Familiarity with at least one modern frontend framework (React, Vue, Angular, or Svelte) and frontend tooling (TypeScript, Webpack, Vite, etc.).
• Solid understanding of server-side development and microservices architecture.
• Hands-on experience with databases (PostgreSQL, MySQL, MongoDB, Redis) and data modeling.
• Experience defining and consuming APIs (REST, GraphQL, gRPC).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their compute, storage, or serverless services.
• Working knowledge of containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, Cloud Formation).
• Strong grounding in software engineering principles, design patterns, and testing frameworks (Jest, Mocha, Cypress).
• Excellent problem-solving and debugging skills.
• A strong desire to learn and evolve into AI, ML, and cloud infrastructure domains.

Nice to Have:

• Exposure to AI/ML APIs and SDKs (OpenAI, Hugging Face, LangChain, TensorFlow.js, PyTorch).
• Familiarity with vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG).
• Experience with workflow orchestration, data visualization, or AI pipeline tools.
• Prior experience in a startup or cloud-native environment.