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AI Developer

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Onsite

AI Developer

Moksh Cad

AI Developer

Skills

DockerPythonGitSeleniumPlaywrightAILinuxKubernetesNo-code Automationsn8nJavascriptAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Ahmedabad, Gujarat, India

Work mode:

Onsite

Published on:

4 September 2026

What they need


Job Summary

The Junior Software Engineer - AI Automation will be responsible for developing and maintaining automation solutions and AI-integrated applications. The role requires strong programming fundamentals, practical exposure to browser automation, and conceptual understanding of AI systems such as Large Language Models (LLMs), RAG architectures, OCR, and voice-based systems.

Key Responsibilities

  • Develop automation solutions using Python.
  • Implement browser automation using Playwright or Selenium.
  • Design and deploy AI-enabled workflows using LLMs and related technologies.
  • Analyze manual processes and propose optimized automation strategies.
  • Containerize applications using Docker and support cloud deployment.
  • Maintain version control using Git and adhere to coding standards.
  • Ensure secure coding and system reliability practices.
  • Participate in code reviews and documentation.

Required Qualifications Skills Education

  • Bachelor s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Technical Skills (Mandatory)

  • Proficiency in Python.
  • Strong understanding of OOP and functional programming concepts.
  • Working knowledge of HTML, CSS, JavaScript.
  • Understanding of browser internals (DOM, rendering process, event loop).
  • Experience with browser automation tools (Playwright or Selenium).
  • Basic understanding of:
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • OCR and voice-based AI systems
  • Familiarity with Linux environments.
  • Working knowledge of Docker.
  • Experience using Git for version control.
  • Completion of at least one end-to-end software project.

Preferred Skills

  • Exposure to CI/CD pipelines.
  • Familiarity with Kubernetes.
  • Experience with Microsoft Azure or Azure DevOps.
  • Experience integrating AI APIs into production systems.
  • Knowledge of workflow automation tools (e.g., n8n, Power Automate).

Competencies

  • Analytical and problem-solving skills.
  • Ability to work independently and in a team environment.
  • Strong communication skills.
  • Self-motivated with a learning mindset.
  • Commitment to secure and ethical engineering practices.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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