Senior AI Engineer

LTM; Dallas (TX); Hybrid; USD 107,000 - 113,000; Full time

Benefits offered by this job

Medical Plan

Disability coverage

401(k) match

Life Insurance

Paid leave

Job summary

LTM is building a sophisticated agentic AI platform in Dallas, TX (Hybrid). The Senior AI Engineer will lead architectural decisions for the ASL, drive multiagent orchestration, and own LLM integration pipelines end-to-end.

You’ll set standards, review designs, and mentor engineers to deliver scalable, secure AI systems that operate at production scale. Ideal candidates bring 10+ years of software architecture, deep distributed systems expertise, and hands-on experience with LLM tooling.

Qualifications

• 10+ years of software architecture experience
• 3+ years designing AI/ML platform systems
• Hands-on with LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel
• Deep expertise in distributed systems design including microservices and event-driven patterns
• Strong API design skills using REST and gRPC, with Python and at least one of Java/Go/TypeScript

Responsibilities

• Define technical architecture for the AI platform within the ASL team
• Design and evolve multiagent orchestration system architecture
• Design and evolve tool use frameworks and LLM integration pipelines
• Establish patterns for agent reliability, observability, and production-scale guardrails
• Lead technical design reviews and produce ADRs
• Collaborate to ensure scalable, secure, maintainable platform components
• Evaluate and integrate emerging agentic AI frameworks (LangGraph, CrewAI, Semantic Kernel, AutoGen)
• Define API contracts and data flow patterns across the platform
• Mentor engineers on production-grade AI systems

Skills

Software architecture

AI/ML platform

LLMOps

Python

REST

gRPC

Kubernetes

AWS

Azure

GCP

LangChain

Tools

LangGraph

Semantic Kernel

CrewAI

AutoGen

LlamaIndex

Job description

LTM is building an agentic AI platform within the Agentic System Layer (ASL) team, and the Senior AI Engineer role focuses on turning agent concepts into production-ready systems. Based in Dallas, TX (Hybrid), this position combines technical architecture leadership with hands‑on work across multiagent orchestration, LLM integration pipelines, and reliability guardrails.

In this role, you will define platform patterns and integration standards across the AI ecosystem, lead design reviews, and collaborate with ML and software engineering teams to keep components scalable, secure, and maintainable.

Key Responsibilities

• Define and drive the technical architecture for the agentic AI platform within the ASL team
• Design and evolve multiagent orchestration system architecture
• Design and evolve tool use frameworks and LLM integration pipelines
• Establish patterns for agent reliability, observability, and production‑scale guardrails
• Lead technical design reviews and produce architecture decision records (ADRs)
• Collaborate with ML engineers and software engineers to ensure platform components are scalable, secure, and maintainable
• Evaluate and integrate emerging agentic AI frameworks, including LangGraph, CrewAI, Semantic Kernel, and AutoGen
• Define API contracts, data flow patterns, and integration standards across the AI platform ecosystem
• Mentor engineers on best practices for building production‑grade AI systems

Required Qualifications

• 10+ years of software architecture experience, including at least 3 years designing AI/ML platform systems
• Hands‑on experience with LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or similar
• Deep expertise in distributed systems design, including microservices architecture and event‑driven patterns
• Strong API design skills using REST and gRPC, with proficiency in Python and at least one of Java, Go, or TypeScript
• Production experience building and deploying agentic AI systems or LLM‑powered applications at scale, including prompt engineering, tool use patterns, RAG pipelines, and agent reliability/observability
• LLMOps experience
• Prompt Engineering & RAG experience
• Python API experience for LangChain or LlamaIndex

Relevant Technologies

• LLMOps, Prompt Engineering, RAG, Python
• Java, Go, TypeScript
• LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, LlamaIndex
• REST, gRPC, Kubernetes, AWS, Azure, GCP
• MLOps, LLMOps tooling, vector databases (Pinecone, Weaviate, pgvector)
• Knowledge graphs, TOGAF

Benefits

• Comprehensive Medical Plan covering Medical, Dental, and Vision
• Short Term and Long‑Term Disability coverage
• 401(k) plan with company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

Nice to Have Skills

• Experience with Kubernetes and container orchestration
• Cloud platform experience: AWS, Azure, GCP
• MLOps and LLMOps tooling experience
• Vector database experience: Pinecone, Weaviate, pgvector
• Knowledge graph experience
• Airline travel domain experience
• TOGAF or similar architecture certification
• Experience with multiagent system design patterns and agent evaluation/benchmarking frameworks

Location: Dallas, TX. This is a Hybrid role and may include in‑person client interviews if shortlisted.

Compensation range: $78.00 to $82.00 per hour. Actual compensation will depend on skills, experience, performance, and internal equity.