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CareerNet Technologies Pvt Ltd Logo
Software Engineer - RAG Developer

CareerNet Technologies Pvt Ltd

 

Bengaluru, Karnataka, India

Posted On: 30+ days ago
Experience: 6+ years
Availability: Hybrid
Openings: 1
Category: Software Engineer
Tenure: No Preference/Any
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Description

Key Skills: Retrieval-Augmented Generation, Agentic AI, JSON, Deck Preparation, Data Engineer

Roles and Responsibilities:

  • Develop AI agents and automation workflows using RAG-based architectures.
  • Build end-to-end agent workflows from JSON input and payload processing through chunking, RAG implementation, backpropagation, forward pass, and recursive algorithmic loops.
  • Create, configure, and manage AI agents in Cash Platform, Agent Studio, and Vortex AI Agent Builder.
  • Collaborate with business customer teams to proactively identify issues, propose improvements, and resolve blockers.
  • Review code, change lists (CLs), dashboard logic, and validate AI pipelines and workflow health.
  • Monitor and troubleshoot AI agent performance, workflow reliability, and operational issues.
  • Flag issues proactively and provide automated as well as human-assisted resolution approaches.
  • Participate in architecture discussions and contribute to AI solution enhancements and optimization initiatives.
  • Ensure scalability, maintainability, and performance of AI agent workflows and integrations.

Skills Required:

  • Strong experience in AI agent development and RAG-based architectures.
  • Expertise in Retrieval-Augmented Generation (RAG) workflows and AI orchestration pipelines.
  • Proficiency in handling JSON structures, payload management, and data processing workflows.
  • Understanding of chunking strategies for AI/LLM-based applications.
  • Knowledge of machine learning concepts including forward pass, backpropagation, and recursive algorithmic processing.
  • Experience building and configuring AI agents using platforms such as Cash Platform, Agent Studio, and Vortex AI Agent Builder.
  • Ability to review, validate, and optimize AI pipelines, workflow health, and dashboard logic.
  • Strong debugging, analytical, and problem-solving skills in AI-driven systems.
  • Experience collaborating with business and technical stakeholders to improve AI workflows and automation processes.
  • Understanding of conversational AI systems, agent orchestration, and automation frameworks.

Education: Bachelor's degree in Computer Science, Artificial Intelligence, Data Engineering, Information Technology, or a related field

Education

Any Graduate

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