Senior AI Engineer
Backend Developer
Agentic Ai
Ai Agent
Ai Agent Platform
Ai Security
Application Security
Artificial Intelligence
Artificial Intelligence Engineer
Automation
Cloud
Cloud Infrastructure
Cloud Native
Cloud Native Technologies
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Cloud Technology
Data Analysis
Data Architecture
Data Platform
Data Science
DevOps
DevSecOps
Engineering
Engineering Software
Gen Ai Engineering
Generative AI
Infrastructure As Code
Kubernetes
Llm Operations
Management
Multi Agent Orchestration
Platform Engineering
Programming
Programming Language
Programming Languages
Rag Architectures
Security Automation
Security Devops
Job Description
LTM is building an agentic AI platform through its Agentic System Layer (ASL) team, and is hiring a Senior AI Engineer to help set the technical direction. This hybrid role in Dallas, TX focuses on architecture and production readiness for multiagent orchestration, tool use, and LLM integration pipelines at scale.
Responsibilities
- Define and drive the technical architecture for the agentic AI platform within the Agentic System Layer (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 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 such as 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
Requirements
- 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, event-driven patterns, and API design (including REST/gRPC)
- Strong 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
- Python API experience (for LangChain / LlamaIndex)
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
Nice to Have
- Experience with Kubernetes, container orchestration, AWS, Azure, or GCP
- MLOps / LLMOps tooling and vector databases (Pinecone, Weaviate, pgvector)
- Knowledge graphs
- Airline/travel domain experience
- TOGAF or similar architecture certification experience
- Experience with multiagent system design patterns and agent evaluation or benchmarking frameworks
Compensation
The hourly compensation range is $78.00 to $82.00. Actual compensation within the range will depend on the individual’s skills, experience, performance, and internal equity.
Location
Dallas, TX (Hybrid). If shortlisted, there will be an in-person client interview.
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, and paid holidays
- Paid paternity and maternity leave
Similar Jobs
