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# Senior AI Engineer

- **Company:** LTM Inc
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $162,240.0 - $170,560.0
- **Contract:** Internship / Graduate position
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Distributed Systems, Fault Tolerance, Python (Programming Language), Software Architecture, Data Streaming, Systems Integration, Pinecone, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Llamaindex, Agentic-AI, Togaf, Pgvector, AI Platforms, CrewAI, Weaviate, AutoGen, Machine Learning Operations, Api Design, Semantic Kernel, Artificial Intelligence Markup Language (AIML), Api Management, Microservices
- **Published:** October 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9add0ffef2e1e97c

## About the Role

* 10 years software architecture experience with at least 3 years designing AIML platform systems including handson experience with LLM orchestration frameworks LangChain LangGraph Semantic Kernel or similar
 * Deep expertise in distributed systems design microservices architecture eventdriven patterns and API design RESTgRPC with strong proficiency in Python and at least one of JavaGoTypeScript
 * Production experience building and deploying agentic AI systems or LLMpowered applications at scale including prompt engineering tooluse patterns RAG pipelines and agent reliabilityobservability

Nice to Have Skills

Experience with Kubernetescontainer orchestration cloud platforms AWSAzureGCP MLOpsLLMOps tooling vector databases Pinecone Weaviate pgvector knowledge graphs airlinetravel domain experience TOGAF or similar architecture certification experience with multiagent system design patterns and agent evaluationbenchmarking frameworks

Describe a great candidate that you are looking for and what skills and experience they will have A great candidate is a seasoned architect who has shipped production agentic AI systems not just prototypes They can whiteboard a multiagent orchestration system debate tradeoffs between different LLM routing strategies and then jump into code to prove out a design They understand that agentic systems at airline scale need bulletproof reliability graceful degradation and real observability They have opinions backed by experience they push back on bad ideas constructively and they make the engineers around them better, Mandatory Skills : LLMOps, Prompt Engineering & RAG, Python API (for Langchain / Llamaindex)

## Description

As Architect on the Agentic System Layer ASL team you will define and drive the technical architecture for agentic AI platform Daytoday responsibilities include designing and evolving the architecture for multiagent orchestration systems tooluse frameworks and LLM integration pipelines establishing patterns for agent reliability observability and guardrails at production scale leading technical design reviews and producing architecture decision records ADRs collaborating with ML engineers and software engineers to ensure platform components are scalable secure and maintainable evaluating and integrating emerging agentic AI frameworks eg LangGraph CrewAI Semantic Kernel AutoGen defining API contracts data flow patterns and integration standards across the AI platform ecosystem mentoring engineers on best practices for building productiongrade AI systems