AI Automation Engineer

2 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Location:

Type:



About the Role


AI Automation Engineer


What You’ll Do


  • Design, build, and maintain

    automation workflows using n8n.io

    .
  • Integrate

    REST APIs, webhooks

    , and third-party

    AI services

    like OpenAI, Hugging Face, or custom models.
  • Write advanced automation logic using

    JavaScript (Node.js)

    .
  • Work with

    developers

    ,

    data scientists

    , and

    stakeholders

    to understand automation goals and translate them into functional workflows.
  • Monitor performance and ensure workflows are

    scalable, secure, and reliable

    .
  • Implement

    authentication protocols

    and follow

    best practices in data security

    .
  • Stay ahead of trends in

    AI tools

    ,

    automation

    , and

    n8n.io

    developments.
  • Document workflows and contribute automation best practices across teams.


Must-Have Requirements


  • Proven expertise in n8n.io — portfolio or real-world examples required.

  • Bachelor’s degree in

    Computer Science

    ,

    Engineering

    , or a related field.
  • 2+ years

    of hands-on experience in

    automation, scripting, or AI integrations

    .
  • Strong proficiency in

    JavaScript (Node.js)

    .
  • Experience working with:
  • REST APIs

    ,

    webhooks

  • JSON

    ,

    XML

    ,

    CSV

    data formats
  • Familiarity with integrating AI services such as

    OpenAI

    ,

    Hugging Face

    , or NLP APIs.
  • Solid understanding of

    cloud platforms

    (AWS, Azure, GCP).
  • Deep knowledge of

    API security

    ,

    authentication

    , and

    data handling standards

    .
  • Strong

    analytical

    ,

    problem-solving

    , and

    technical documentation

    skills.


Nice-to-Have Qualifications


  • Experience with other automation tools like

    Zapier

    ,

    Integromat

    , or

    Make

    .
  • Exposure to

    AI/ML model deployment

    workflows.
  • Working knowledge of

    databases

    (SQL, NoSQL).
  • Familiarity with

    agile methodologies

    and working in

    cross-functional teams

    .
  • Relevant

    certifications

    in AI, cloud, or automation tools.
  • Excellent

    communication skills

    to work with both technical and non-technical teams.

Mock Interview

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