Software Engineer

7 days ago

Vijayawada, Andhra Pradesh, India Lakshya Software Technologies Pvt. Ltd. Full time ₹ 17,04,000 - ₹ 20,32,000 per year

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 / 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 (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, , 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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