Senior AI Engineer

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.

• 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 Lang Graph
  , CrewAI
  , Semantic Kernel
  , and Auto Gen
• 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

• 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 Lang Chain
  , Lang Graph
  , 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 Type Script
• 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 Lang Chain or Llama Index

• LLMOps, Prompt Engineering, RAG, Python
• Java, Go, Type Script
• Lang Chain, Lang Graph, Semantic Kernel, CrewAI, Auto Gen, Llama Index
• REST, gRPC, Kubernetes, AWS, Azure, GCP
• MLOps, LLMOps tooling, vector databases (Pinecone, Weaviate, pgvector)
• Knowledge graphs, TOGAF

• 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

• 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.