App Lead Engineer (Agentic AI/LLM Architect)

Requirements

• USC / GC Holders Only
• Final Interview: Onsite (Mandatory)
• 10+ Years
• Looking for a strong Agentic AI / LLM Architect with hands-on experience designing and deploying production-grade AI platforms and multi-agent orchestration systems.
• 10+ years of software architecture experience, including 3+ years designing AI/ML platforms
• Strong hands-on experience with LLM orchestration frameworks – LangChain, LangGraph, Semantic Kernel
• Expertise in Agentic AI, Multi-Agent Systems & LLM-Powered Applications
• Strong proficiency in Python and at least one of Java, Go, or TypeScript
• Deep understanding of Distributed Systems, Microservices & Event-Driven Architecture
• Experience with REST/gRPC APIs and Scalable System Design
• Production experience with RAG Pipelines, Prompt Engineering & AI Tool-Use Patterns
• Expertise in Agent Reliability, Observability, Guardrails & LLM Integration
• Strong experience in architecture design, technical leadership, and mentoring engineering teams
• Nice-to-Have: Kubernetes, Docker & Cloud Platforms (AWS/Azure/GCP)
• Nice-to-Have: MLOps / LLMOps
• Nice-to-Have: Vector Databases – Pinecone, Weaviate, pgvector
• Nice-to-Have: CrewAI, AutoGen & Multi-Agent Orchestration
• Nice-to-Have: Knowledge Graphs & Agent Evaluation Frameworks
• Nice-to-Have: Airline / Travel Domain Experience
• Nice-to-Have: TOGAF or Similar Architecture Certification

Location

• Dallas/Fort Worth, TX (Hybrid)