Software Engineer - AI

Responsibilities:

• Build and deploy autonomous, production-grade AI systems.
• Design RAG pipelines for intelligent document processing.
• Develop multi-agent frameworks for seamless orchestration.
• Create efficient context management for large-scale data.
• Automate dynamic AI workflows for evolving business needs.
• Ensure reliability, scalability, and regulatory compliance.
• Implement performance monitoring for accuracy and relevance.
• Integrate AI agents with core business systems.

Requirements:

• 4+ years building and deploying agentic AI systems in production.
• Skilled in creating autonomous AI agents using LangGraph, LLamaIndex, ADK, etc.
• Deep expertise in RAG architectures, vector DBs, and document pipelines.
• Hands-on with production deployment, monitoring, and optimization.
• Experienced in designing feedback loops and quality metrics for AI improvement.
• Strong grasp of enterprise AI infrastructure and MLOps best practices and committed to AI safety, ethics, and compliance.
• Desired Skills and Experience: custom backend, Artificial General Intelligence.

Skills

AI, LangGraph, LlamaIndex, ML, MLOps, RAG, artificial intelligence, machine learning, retrieval augmented generation, vector DB, vector database