AI Engineer

7 days ago

bangalore, India BeGig Full time

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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