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full Stack AI Engineer

  • Source: LinkedIn
  • The Reliable Jobs
  • Remote
  • India
  • Full-Time
  • Mid level

Job Description

Hiring: Full Stack AI Engineer

📍 Location: India (Remote)

💼 Experience: 3+ Years

🕒 Work Mode: Fully Remote

We are looking for a Full Stack AI Engineer who is passionate about building scalable applications by combining Python backend development, modern frontend technologies, and AI-powered capabilities. The ideal candidate will work across the stack to develop user-facing features and integrate LLMs, retrieval systems, and AI agents into production applications.

Key Responsibilities

  • Develop and maintain backend services using Python and frameworks such as FastAPI or Flask.
  • Build responsive web interfaces using React, Angular, Vue, or similar modern JavaScript frameworks.
  • Integrate LLM APIs, retrieval-augmented generation (RAG), and AI agent capabilities into applications.
  • Develop data-processing scripts and automation workflows to support platform functionality.
  • Design and integrate REST APIs, asynchronous workflows, and database-backed services.
  • Write unit and integration tests, participate in code reviews, and maintain clean, reusable code.
  • Troubleshoot and resolve defects across frontend and backend components.
  • Collaborate with cross-functional teams and contribute to technical documentation and Agile sprint ceremonies.

Must-Have Skills

  • 3+ years of software development experience, primarily focused on Python.
  • Hands-on experience with FastAPI or Flask.
  • Experience with React, Angular, Vue, or another modern JavaScript framework.
  • Working knowledge of SQL databases, preferably PostgreSQL.
  • Familiarity with Docker, Git-based workflows, and CI/CD pipelines.
  • Understanding of REST APIs, asynchronous programming, and clean-code principles.

Good-to-Have Skills

  • Experience integrating LLM APIs or developing RAG-based applications.
  • Exposure to cloud platforms such as AWS or Azure.
  • Familiarity with Kafka, Spark, or other data-processing tools.
  • Exposure to AI agents, vector databases, or AI-powered automation.

Who Should Apply?

Engineers who enjoy building end-to-end products, have strong Python development fundamentals, and are interested in bringing AI capabilities into real-world applications.

Skills

  • mode
  • Python
  • FastAPI
  • Flask
  • React
  • javascript
  • PostgreSQL
  • Docker
  • amazon-web-services
  • microsoft-azure
  • Kafka
  • Spark

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