Software Engineer

6 days ago

Hyderabad India Lakshya Software Technologies Pvt. Ltd. Full time

Job Description Role:Software Engineer - Backend & AI Infrastructure Experience Level:4+ years Job Location:Hyderabad Location Work Mode:Remote work mode Shift Timings:US Shift (6:30 P.M. to 3.30 A.M.) 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.

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