Bigdara Developer

scalable, enterprise-grade Agentic AI solutions

Key components include:

Mandatory Technical Skills

Python, Google Cloud Platform

Nice-to-Have Requirements

• Hands-on experience

  designing, building, and deploying data pipelines

• Experience with

  ETL/ELT pipelines

  for structured and unstructured data
• Familiarity with

  batch and streaming data processing

• Understanding of

  data quality, monitoring, and reliability

  practices
• Exposure to

  cloud-based data platforms

  and deployment workflows
• Basic understanding of how data pipelines support

  AI/LLM or RAG use cases

• Ability to collaborate with AI engineers, platform engineers, and product teams
• Willingness to learn and adapt in a

  fast-paced environment

  3.

Tech Stack & Platform Overview

• Core

  data ingestion and transformation pipelines

• Data layers supporting

  RAG workflows

  and AI agents

• LLM observability

  and logging data pipelines

• AgentOps

  -related operational data pipelines
• Integration with agent frameworks such as

  CrewAI, AutoGen, and LangGraph

• A

  modular, cloud-native architecture

  for rapid iteration and deployment

Nice-to-Have Requirements

• Hands-on experience

  designing, building, and deploying data pipelines

• Experience with

  ETL/ELT pipelines

  for structured and unstructured data
• Familiarity with

  batch and streaming data processing

• Understanding of

  data quality, monitoring, and reliability

  practices
• Exposure to

  cloud-based data platforms

  and deployment workflows
• Basic understanding of how data pipelines support

  AI/LLM or RAG use cases

• Ability to collaborate with AI engineers, platform engineers, and product teams
• Willingness to learn and adapt in a

  fast-paced environment

  3.

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• we'll-equipped office