AI Agent Engineer (LLM, RAG & Autonomous Systems 14+ years of experience)

Job Title: AI Agent Engineer (LLM RAG & Autonomous Systems 14 years of experience)

Location: Austin TX - Hybrid- Local candidates Only

We are currently seeking candidates who meet the following qualification

• Research design implement and manage scalable AI-driven software programs and intelligent agent systems
• Develop and deploy production-grade autonomous agents and agentic workflows
• Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases
• Build and optimize context engineering strategies for LLM-based applications
• Work extensively with frameworks such as LangChain LangGraph CrewAI or AutoGPT
• Integrate Large Language Models (LLMs) via APIs including OpenAI Hugging Face and Azure AI
• Implement and extend Model Context Protocol (MCP) for secure and standardized data access
• Develop AI guardrails content filtering and safety mechanisms for responsible AI usage
• Ensure compliance with AI governance model lifecycle management and evaluation standards
• Handle sensitive data securely including PII/PHI ensuring data privacy and compliance
• Test evaluate and optimize AI models and applications for performance and scalability
• Collaborate cross-functionally with engineering UX and business teams to deliver robust solutions
• Monitor and optimize LLM cost token usage and system performance
• Design enterprise-grade AI deployment architectures with scalability and reliability in mind
• Contribute to continuous improvement through innovation experimentation and best practices
• Experience in AI/ML engineering or advanced data science
• Proven experience building and deploying production-grade autonomous agents
• Strong expertise in context engineering and prompt design
• Deep hands-on experience with LangChain LangGraph CrewAI or AutoGPT
• Experience implementing RAG architectures with vector databases
• Proficiency in Python and AI/ML libraries (OpenAI Hugging Face Azure AI)
• Strong experience integrating and working with LLM APIs
• Knowledge of AI governance evaluation frameworks and lifecycle management
• Experience with MCP (Model Context Protocol) implementations
• Strong understanding of AI safety guardrails and content moderation
• Solid understanding of data privacy compliance and handling sensitive data
• Experience building multi-agent or complex autonomous systems
• Experience optimizing LLM cost efficiency and token usage
• Familiarity with enterprise AI architecture and scalable deployment patterns
  
  If you meet these qualifications please submit your application via link provided in Linkedin
  Kindly do not call the general line to submit your application.