AI Engineer Circullence

Circullence

Nagpur District

On-site

INR 1,200,000 - 1,600,000

Full time

14 days+
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Job summary

Circullence is looking for an AI Engineer in Nagpur District, Maharashtra. The position involves designing and implementing intelligent document processing workflows that utilize OCR, LLMs, and AWS services. Responsibilities include developing data extraction pipelines, designing LLM-powered APIs, and integrating RAG using vector databases. Candidates should have proficiency in Python and Java, along with experience in AWS and containerization. This is an exciting opportunity to work in a dynamic environment focused on innovative AI solutions.

Qualifications

  • Proficiency in Python and Java.
  • Hands-on experience with LLMs and Layout-aware models.
  • Familiarity with OCR technologies.
  • Experience with RAG pipelines and vector databases.
  • Strong knowledge of REST APIs.
  • Working experience with AWS cloud services.
  • Comfortable with containerization and DevOps practices.

Responsibilities

  • Develop document classification and data extraction pipelines using LayoutLM and OCR technologies.
  • Design and implement LLM-powered APIs for document understanding.
  • Integrate RAG using vector databases.
  • Build and deploy scalable microservices in Python and Java.
  • Utilize AWS services to support AI workflows.
  • Containerize applications using Docker.
  • Collaborate with backend and DevOps teams to integrate solutions.

Skills

Python
Java
Large Language Models (LLMs)
Layout-aware models
OCR technologies
Retrieval-Augmented Generation (RAG)
REST APIs
AWS cloud services
Docker
DevOps practices

Job description

Job Description

We are seeking an AI Engineer to design and implement intelligent document processing workflows that integrate OCR, Layout-aware models, and Large Language Models (LLMs). The ideal candidate will have hands‑on experience with Retrieval‑Augmented Generation (RAG), vector databases, and cloud‑based AI services, particularly in AWS.

Responsibilities
  • Develop document classification and data extraction pipelines using LayoutLM and OCR technologies
  • Design and implement LLM‑powered APIs for document understanding, validation, and enrichment
  • Integrate Retrieval‑Augmented Generation (RAG) using vector databases (e.g., FAISS, Pinecone)
  • Build and deploy scalable microservices in Python and Java
  • Utilize AWS services (e.g., Textract, Lambda, S3, SageMaker) to support AI workflows
  • Containerize applications using Docker and contribute to CI/CD pipelines
  • Collaborate with backend and DevOps teams to integrate solutions into production systems
Required Skills
  • Proficiency in Python and Java
  • Hands‑on experience with LLMs (e.g., GPT, Claude) and Layout‑aware models (e.g., LayoutLM)
  • Familiarity with OCR technologies (Amazon Textract, Tesseract, etc.)
  • Experience with RAG pipelines and vector databases
  • Strong knowledge of REST APIs and integration patterns
  • Working experience with AWS cloud services
  • Comfortable with containerization (Docker) and DevOps practice
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