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Software Engineer - Backend & AI Infrastructure
Software Engineer - Backend & AI InfrastructureLakshya Software Technologies Pvt. Ltd. • srikakulam, India
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Software Engineer - Backend & AI Infrastructure

Software Engineer - Backend & AI Infrastructure

Lakshya Software Technologies Pvt. Ltd. • srikakulam, India
1 day ago
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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