R
AI Engineer
Ryan, LLC
2 hours ago
Full-time
On-site
Dallas, Texas, United States
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr