AI Engineer

Ryan, LLC; Dallas (TX); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Hybrid Work Options

Award-Winning Culture

Generous Personal Time Off (PTO)

14-Weeks of 100% Paid Leave for New, {

Job summary

Ryan, LLC in Dallas, TX is seeking a Senior AI Engineer to design and deliver robust, scalable, and secure AI-driven software systems in a hybrid setup across architecture, implementation, testing, deployment, and ongoing improvement.

You will translate business needs into agentic workflows, build production full-stack components (APIs, services, UIs), and collaborate with product, UX, QA, DevOps, and staff engineers to ensure correctness, safety, and reliability.

Qualifications

• Hands-on experience building agentic systems with LLMs.
• Experience with tool-use, orchestration, and verification/validation patterns.
• Proficiency with agentic frameworks (LangChain, OpenAI Agents SDK, Semantic Kernel, AutoGen, CrewAI).
• Full-stack capability across APIs, services, and UIs.
• Strong knowledge of .NET with ReactJS is a plus.
• Experience with CI/CD, Docker, and cloud services (AWS/Azure).
• 6–9 years of software engineering experience delivering production-grade systems.

Responsibilities

• Design and document functional and technical specifications for mid-to-large components.
• Implement and review high-quality code with modern development practices.
• Conduct design and code reviews emphasizing performance, scalability, and maintainability.
• Troubleshoot integration issues and support CI/CD improvements with QA and DevOps.
• Participate in infrastructure-as-code practices and cloud performance tuning.
• Define evaluation strategies for agent behavior using datasets and regression suites.
• Instrument and monitor agent behavior with traces, latency, and cost metrics.
• Design and execute unit/integration/automation tests and contribute to frameworks.
• Translate architecture into low-level designs and maintain artifacts with architects.
• Communicate trade-offs during design sessions and contribute to planning/estimation.
• Lead technical discussions and mentor junior engineers.

Skills

LLMs

tool-use

orchestration

multi-step flows

system design

application performance optimization

CI/CD

Docker

Kubernetes

Azure cloud

LangChain/LangGraph

OpenAI Agents SDK

Microsoft Semantic Kernel

Microsoft AutoGen

CrewAI

ReactJS

.NET ecosystem

SQL/NoSQL

Tools

Docker

Kubernetes

CI/CD

Azure

LangChain

LangGraph

OpenAI SDK

Job description

Ryan, LLC is hiring a Senior AI Engineer to help design and deliver robust, scalable, and secure AI-driven software systems. This hybrid role in Dallas, TX offers a strong support structure for doing high-impact work end to end, from architecture and implementation through testing, deployment, and continuous improvement.

What you’ll deliver

You will translate business needs into agentic workflows and production-ready full-stack components, taking ownership of complex areas from design through deployment. The role emphasizes correctness, safety, and reliability, with close collaboration across product, UX, QA, DevOps, and engineering leadership.

• Build agentic systems with LLMs, focusing on tool-use, orchestration, and multi-step flows including verification and validation patterns
• Develop production full-stack capabilities including APIs, services, and UIs
• Integrate enterprise applications and services via APIs and middleware
• Deploy and improve software in Azure cloud environments, including configuring platform deployment scripts and troubleshooting build-release issues
• Support interoperability testing and feasibility assessments to confirm connected system behavior

Core responsibilities

• Design and document functional and technical specifications for mid-to-large components
• Implement and review high-quality code using modern development practices
• Conduct design and code reviews with emphasis on performance, scalability, and maintainability
• Troubleshoot integration issues, optimize connected systems, and support CI/CD improvements with QA and DevOps
• Participate in infrastructure-as-code practices and cloud performance tuning
• Define evaluation strategies for agent behavior using golden datasets, regression suites, scenario coverage, and reliability checks
• Instrument and monitor agent behavior using traces, latency/cost metrics, and failure mode analysis to drive iterative improvements
• Design and execute unit, integration, and automated test cases; analyze failures and propose code fixes; contribute to automation frameworks
• Translate high-level architecture into low-level designs and maintain design artifacts with architects and staff engineers
• Understand existing system architecture and communicate trade-offs during design sessions
• Contribute to project planning and estimation for features and enhancements
• Lead technical discussions, mentor junior engineers, and support knowledge sharing

Skills and experience needed

• Deep understanding of core programming, system design, and application performance optimization
• Hands-on experience building agentic systems with LLMs, including tool-use, orchestration, and verification/validation patterns, plus MCPs
• Proficiency with one or more agentic frameworks such as LangChain/LangGraph, OpenAI Agents SDK, Microsoft Semantic Kernel, Microsoft AutoGen, or CrewAI
• Ability to write clean, efficient, maintainable code across at least one modern full-stack
• Framework experience in the .NET ecosystem with ReactJS is a plus
• Experience shipping AI/LLM-powered features (agents/agentic frameworks, RAG, tool-calling, workflow automation) into real user workflows
• Strong full-stack and infrastructure skills: data stores (SQL/NoSQL), Redis, containerization, Kubernetes, and Azure cloud-native services
• Hands-on experience with CI/CD, Docker, and cloud services (AWS/Azure)
• Demonstrated ability to design, test, and debug complex systems collaboratively
• Comfort working with large codebases, managing competing priorities, documenting and communicating technical concepts clearly
• 6–9 years of software engineering experience and a strong track record delivering production-grade systems
• Awareness when progress stalls and willingness to seek help or confirmation

Benefits at Ryan, LLC

• Hybrid Work Options
• Award-Winning Culture
• Generous Personal Time Off (PTO) Benefits
• 14-Weeks of 100% Paid Leave for New Parents (adoption included)
• Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
• Benefits Eligibility Effective Day One
• 401K with Employer Match
• Tuition Reimbursement After One Year of Service
• Fertility Assistance Program
• Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service

Additional requirements

• Valid driver’s license required.

Supervisory responsibilities

• May directly supervise employees in the Business Solutions practice and carry out supervisory responsibilities in accordance with the Firm's policies and applicable laws.