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Ai Engineer
Ai EngineerBeGig • Chicacole, Republic Of India, IN
Ai Engineer

Ai Engineer

BeGig • Chicacole, Republic Of India, IN
9 days ago
Job description

Job Role- AI Engineer (Data Pipelines & RAG)

Job Type- Full-time

Work Mode- Remote(6 days working)

We are looking for a hands-on AI / Data Engineer (4–7 years) to build and scale data pipelines powering GenAI and agentic applications. You’ll architect data models, build ETL / ELT workflows, and integrate pipelines with RAG-based systems in a fast-paced startup environment.

What You’ll Do

Data Pipelines & Modeling

  • Build scalable ETL / ELT pipelines (batch & streaming) using Python + Spark
  • Automate ingestion from databases, APIs, files, SharePoint and other document sources
  • Process & structure unstructured files (PDFs, tables, charts, drawings, etc.)
  • Own chunking, indexing & embedding strategies for RAG / LLM use cases
  • Design logical & physical data models, schema mappings & data dictionaries

GenAI & RAG Integration

  • Feed real-time data into LLM prompts
  • Build retrieval workflows for downstream agent / RAG systems in RE / Construction
  • Observability & Governance

  • Implement monitoring, alerting & logging for pipeline reliability
  • Apply IAM, Unity Catalog and other data privacy / security controls
  • CI / CD & Automation

  • Use DevOps workflows with GitHub Actions / Azure DevOps / CircleCI
  • Build reproducible infra using Terraform / ARM templates
  • Use Prefect / Airflow for orchestration
  • What You’ll Need

  • 5+ years in data engineering, with 1–2 years working on pipelines for unstructured data & RAG systems
  • Strong Python + SQL, experience with dlt, DuckDB, DVC
  • Azure cloud experience in production
  • Experience with chunking / indexing strategies for RAG
  • Strong Git / CI / CD workflows
  • Familiarity with Prefect or equivalent
  • Good to Have : MLflow, Docker / K8s, Computer Vision, agentic AI concepts, governance & privacy frameworks (GDPR)
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    Ai Engineer • Chicacole, Republic Of India, IN

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