AI Engineer
Agentic Ai
Ai Agent
Ai Agent Platform
Ai Engineer
Application Security
Artificial Intelligence
Artificial Intelligence Engineer
Automation
Azure
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Infrastructure
Cloud Native
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Cloud Technology
Data Engineering
DevOps
Devops Tools
DevSecOps
Engineer
Engineering
Engineering Software
Generative AI
Information Technology (IT)
Infrastructure
Infrastructure As Code
Kubernetes
Platform Engineering
Rag Architectures
Security Automation
Software Security
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.