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Artificial Intelligence Engineer

0 - 2 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Position Title

Location:

Job Type:


Freshers passed out from anyIITs, NITs, BITS and has graduation in Engineeringwill be consider for this role as a ENTRY LEVEL candidate. (Training & Mentorship will be provided)


Please note:

  • Must be available to work in US EST time zone (7 PM IST to 4 AM IST)

  • This is 100% REMOTE / Work from Home opportunity.

  • 0-2 Years of Relevant Experience is required.


Company Overview:

Serigor Inc is


Our professional services primarily focus on ITS services portfolio including but not limited to Managed IT Services, Enterprise Application Development, Testing and Management Consulting, Salesforce, Cloud and Infrastructure Consulting, DevOps Consulting, Migration Consulting, Service Management, Custom Implementation and IT Operations & Maintenance, Remote Application & Infrastructure Monitoring and Management, Big Data as a Service, and Data Science Consulting practices.


Role Overview:

We are looking for a skilled and motivated AI Engineer.


Key Responsibilities:

  • Use AI models (like GPT or Claude) to extract useful information from documents.
  • Convert plain English content into structured formats (like JSON, tables, or templates).
  • Write and refine prompts to get consistent, accurate results from AI tools.
  • Build simple tools or scripts to test and review AI outputs.
  • Collaborate with other engineers to integrate AI-generated outputs into a working system.
  • Keep track of where each output came from in the original document.


Updated Required Skills & Qualifications:

  • 0-2 years of experience in

    AI/ML

    , with focus on

    natural language processing

    or document analysis.
  • Hands-on experience using

    large language models (LLMs)

    like GPT, Claude, or similar.
  • Strong

    Python

    skills and familiarity with

    LangChain

    ,

    spaCy

    , or

    Hugging Face

    .
  • Experience with

    embeddings

    ,

    chunking

    , and

    vectorization techniques

    for document processing.
  • Knowledge of

    vector databases

    like FAISS, Chroma, Pinecone, or similar.
  • Ability to design and run structured tests to evaluate AI outputs.


Preferred:

  • Experience with

    Retrieval-Augmented Generation (RAG)

    workflows.
  • Exposure to

    compliance, regulatory, or legal documents

    .
  • Familiarity with

    web APIs

    ,

    data integration

    , or

    LLMOps pipelines

    .

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