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Today

AI Engineer

LTM Southlake, TX

Southlake, TX

Today

$108k - $113k/yr Full time Backend Developer Agent Orchestration Agentic Ai

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Job Description

LTM is hiring an AI Engineer to design and deliver enterprise agentic AI systems with a focus on scalable architecture and secure integration. The role centers on building autonomous multiagent workflows and governing their deployment end to end within a strict CI/CD environment on Google Cloud.

Based in Southlake, TX (hybrid, 3 days), this position is suited for an experienced engineer who can turn complex agent orchestration into reliable production-grade applications, while actively monitoring performance and controlling token and cost spend.

Responsibilities

Design and build production-grade Python applications using orchestration frameworks such as LangChain, LangGraph, and CrewAI for autonomous multiagent systems, including stateful reasoning and complex RAG (Retrieval-Augmented Generation) workflows.
Deploy, scale, and govern AI agents using the Google Cloud Gemini Enterprise Agent Platform through the Vertex AI Agent Builder ecosystem, including Agent Development Kit (ADK) code-first deployment, Agent Engine stateful runtimes, and Agent Studio for prototyping.
Implement secure inter-agent collaboration and data access by using Agent2Agent (A2A) and the Model Context Protocol (MCP), connecting agentic workflows to enterprise databases, remote MCP servers, and third-party workflow APIs.
Monitor agent behavior and optimize LLM prompt structures, context windows, and caching mechanisms to improve reasoning efficiency while minimizing token usage and operational costs.
Design and maintain hybrid search using Vertex AI Vector Search and Vertex AI Search to ground decisions in authoritative enterprise data, including local files and external specialized data sources.
Architect decentralized agent systems under zero-trust principles, enforcing data privacy protections with Vertex AI Model Armor to prevent prompt injections and managing permissions securely through Agent Identity and Google Cloud IAM.
Build and maintain robust CI/CD pipelines to automate testing, versioning, and deployment of agentic systems, using Vertex AI Agent Engine runtime tracing, logging, and Unified Trace Viewers to debug complex reasoning loops in production.

Requirements

Strong mastery of Python and standard enterprise software design patterns.
Deep hands-on experience building complex, production-ready agentic workflows with LangChain, LangGraph, CrewAI, or Google’s native Agent Development Kit (ADK).
Proven expertise with Gemini Enterprise Agent Platform and Vertex AI Agent Builder, including GKE (Google Kubernetes Engine), Cloud Run, and IAM.
Familiarity with modern agent communication standards such as MCP and A2A.
Strong understanding of Vertex AI Vector Search or standalone vector databases, including semantic search, metadata filtering, and embedding lifecycle management.
Proficiency with modern CI/CD tools such as GitHub Actions, GitLab CI, and containerization using Docker and Kubernetes (Docker/Kubernetes).
5 years of software engineering experience, with at least 2/3 years dedicated to building and deploying AI/LLM-powered applications and agentic systems at enterprise scale.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field, or equivalent practical experience.

Technologies

Python
LangChain, LangGraph, CrewAI
Gemini Enterprise Agent Platform, Vertex AI, Vertex AI Agent Builder
Agent Development Kit (ADK), Agent Engine, Agent Studio
Agent2Agent (A2A) protocol, Model Context Protocol (MCP)
Vertex AI Vector Search, Vertex AI Search, Vertex AI Model Armor
Agent Identity, Google Cloud IAM
Vertex AI Agent Engine Runtime, Unified Trace Viewers
GitHub Actions, GitLab CI, Docker, Kubernetes (GKE)
Cloud Run

Benefits

Comprehensive Medical Plan (Medical, Dental, 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

Employment type: Full-Time

Compensation range: USD 107,720 - 112,720 per year

Location: Southlake, TX (hybrid, 3 days)

Mandatory skills: MLOPS, Python

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5d ago

Lead AI Engineer

Main Sail LLC Remote 🌍 Remote

Remote

5d ago

$85 - $95/hr Full time Backend Developer Manager Agent Orchestration

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Job Description

Main Sail LLC is seeking a Lead AI Engineer to design and deliver agentic AI and conversational solutions across Google, AWS, and Microsoft ecosystems. The role focuses on context engineering, agent design, secure API-based data access, and ongoing model performance and governance.

Key Responsibilities

Develop applications that interact with web services, APIs, and other software applications.
Lead and mentor AI design and development efforts as needed, including conducting peer reviews to maintain and expand AI design standards.
Design the overall structure of agentic AI solutions, including defining required features, user flow, and API development and integration with other systems.
Implement and tune Natural Language Processing techniques to improve AI assistant understanding and response accuracy.
Train and deploy AI models, and monitor solution performance using dashboards.
Create custom indexes, manage data sources, and tune intent matching to improve accuracy and relevance within the AI solution context.
Design conversational flows that deliver a seamless, intuitive experience with human-like and engaging agent interactions.
Analyze agent interaction data to identify patterns, trends, and improvement opportunities.
Prepare reports on agent performance metrics and investigate agent performance issues through debugging and system updates.
Ensure the AI agent and conversational assistant comply with data privacy laws and maintain high security standards when handling sensitive user data.
Collaborate with cross-functional teams, including business analysts, UX designers, project managers, and business customers and business SMEs.
Work with Automation Center of Excellence (CoE) members, incorporating established standards and ensuring solutions align with target architectures and technology roadmaps.
Support safe and transparent AI operations within accepted boundaries, aligned to organizational governance policies and practices.
Plan, initiate, and spearhead proof of concept (POC) initiatives using emerging technologies.
Produce technical writing and materials using Word, PowerPoint, Visio, SharePoint, and Excel to create presentations and white papers.

Required Qualifications

Bachelor’s degree in computer science, Information systems, or a related discipline, or equivalent and extensive related project experience.
Six years of IT experience, including at least four years implementing AI conversational agents and/or generative AI.
Two years of experience developing Google conversational agents, including CX Agent Studio and Dialogflow CX Web and Voice Virtual Assistants.
Two years of experience developing Enterprise Looker Dashboards to monitor AI agent performance.
Two years of experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, and Step Functions.

Preferred Qualifications

Agentic AI Developer experience using Microsoft Foundry.
Experience developing and maintaining SharePoint Online solutions using MS Power Platform.
Google and AWS certifications relevant to the role.

Skills and Technical Focus

Extensive experience building AI conversation agents using Google tools such as CX Agent Studio, Google Conversational Agents, Dialogflow CX, and/or Google CCAI Services.
Ability to build and maintain Enterprise Looker Dashboards for monitoring AI agent performance.
Experience delivering generative AI solutions in the AWS ecosystem, including AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, and Step Functions.
Capability to develop AI agents and virtual assistants using Microsoft Foundry with Azure services including Azure AI Search and Azure AI Language Service, plus Microsoft Power Platform and Microsoft CoPilot Studio.
Ability to integrate virtual assistants with Microsoft services such as Office 365 and SharePoint, and third-party APIs.
Deep understanding of API design principles and AI service interface constraints.
Strong programming skills in C#, .NET, JavaScript, or Python for chatbot application development, testing, and deployment.
Ability to facilitate discussions with business SMEs, and create and present AI solution proposals that communicate business and technical concepts.
Experience training and deploying AI models, and leading efforts to create technology solutions and architectures affecting critical business areas.
Ability to lead emerging technology analysis and conduct proof of concept initiatives.
Strong consultative skills across cross-functional stakeholders, including critical thinking and problem-solving.
Ability to establish and maintain high customer trust and confidence.

Technologies

Google CX Agent Studio, Google Conversational Agents, Google Dialogflow CX, Google CCAI Services
Looker Dashboards
AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, Step Functions
Microsoft Foundry, Azure AI Search, Azure AI Language Service
Microsoft Power Platform, Microsoft CoPilot Studio, Office 365, SharePoint
C#, .NET, JavaScript, Python
Word, PowerPoint, Visio, Excel
NLP, LLM, Natural Language Processing, Artificial intelligence and machine learning fundamentals

Education

Bachelor’s degree in computer science, Information systems, or a related discipline. Master’s degree is preferred.

Location and Compensation

Location: Remote (remote). Compensation: USD 85 to 95 per hour.

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