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AI Engineer - GPT / LangChain / RAG / Data Pipelines
AI Engineer - GPT / LangChain / RAG / Data PipelinesPeak Trust Global Real Estate • narela, India
AI Engineer - GPT / LangChain / RAG / Data Pipelines

AI Engineer - GPT / LangChain / RAG / Data Pipelines

Peak Trust Global Real Estate • narela, India
1 day ago
Job description

Location : Remote

Type : Full-time

Experience : 3+ Years

Salary : up to 70K / Month based on experience

Role Summary

We are looking for a hands-on AI Data Engineer who can independently manage end-to-end data workflows, including data collection, document processing, dataset preparation, retrieval pipelines, model fine-tuning, and data visualization.

This role requires strong technical skills across Python, automation, ML tooling, and analytical reporting.

Key Responsibilities (Technical) 1. Data Acquisition & Automation

  • Build automated data collection workflows using tools such as Firecrawl , Playwright , Scrapy , or similar frameworks
  • Extract multi-format documents (PDFs, HTML, text, images)
  • Handle large-scale crawling, rate limits, error handling, and scheduling

2. Document Processing & Transformation

  • Clean and process unstructured documents
  • Apply OCR (Tesseract, PaddleOCR) for scanned files
  • Convert and structure data using PyPDF2 , pymupdf , BeautifulSoup , etc.
  • Prepare data in formats such as JSON, JSONL, or CSV
  • 3. Dataset Preparation

  • Segment and structure text for ML training
  • Create Q&A datasets, summaries, instruction-response pairs, and labeled text
  • Build high-quality datasets compatible with fine-tuning frameworks
  • 4. Retrieval & Indexing Pipelines

  • Implement document chunking strategies
  • Generate embeddings and manage vector databases ( Qdrant , Pinecone , Weaviate )
  • Build retrieval workflows using LangChain or LlamaIndex
  • Optimize retrieval accuracy and latency
  • 5. Model Training & Fine-Tuning

  • Run fine-tuning jobs using HuggingFace Transformers , LoRA / QLoRA , or similar methods
  • Monitor training performance and refine datasets
  • Package and deploy fine-tuned models
  • 6. Data Visualization & Analytics

  • Create analytical charts, trends, and insights using :
  • Pandas
  • Matplotlib
  • Seaborn
  • Plotly
  • Build simple internal dashboards or visual summaries for reports
  • Transform raw datasets into meaningful visual insights
  • 7. Automation & Infrastructure

  • Write modular, maintainable Python scripts
  • Containerize workflows with Docker
  • Maintain version control with Git
  • Ensure reproducibility and pipeline stability
  • Required Technical Skills

  • Strong proficiency in Python
  • Experience with Firecrawl , Playwright, Scrapy, or similar tools
  • Strong background in document parsing , text processing, and OCR
  • Familiarity with LangChain or LlamaIndex
  • Experience with vector databases
  • Hands-on experience with HuggingFace , Transformer models, and fine-tuning
  • Ability to write clean, efficient data pipelines
  • Experience with Matplotlib , Seaborn , Plotly , or other visualization tools
  • Comfort using Docker and Git
  • Nice to Have

  • Experience serving models or building small APIs (FastAPI)
  • Exposure to GPU training environments
  • Background in large-scale unstructured data work
  • Ability to create lightweight dashboards (Plotly Dash, Streamlit)
  • Ideal Candidate

  • Comfortable owning full pipelines independently
  • Detail-oriented and analytical
  • Strong problem-solving ability
  • Can work with minimal supervision
  • Enjoys building structured systems from scratch
  • Create a job alert for this search

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