AI Engineer

Ryan, LLC is seeking a Senior AI Engineer to design, develop, and deliver secure, scalable AI-driven software systems in a hybrid environment in Dallas, Texas. The role focuses on end-to-end ownership of complex components, including agentic workflows and full-stack delivery across cloud environments.

Key Responsibilities

• Convert business requirements into agentic workflows and production-ready full-stack components including APIs, services, and UIs.
• Produce and document functional and technical specifications for mid-to-large components.
• Build and refine agent orchestration, tool-use, and integrations with an emphasis on correctness, safety, and reliability.
• Implement, review, and maintain high-quality code using modern software development practices.
• Perform design and code reviews with focus on performance, scalability, and maintainability.
• Integrate enterprise applications and services using APIs and middleware solutions.
• Conduct feasibility assessments and support application interoperability testing.
• Troubleshoot integration issues and support optimization of connected systems.
• Develop and participate in deploying software in Azure cloud environments, including platform-specific deployment scripts.
• Support build-release troubleshooting and participate in infrastructure-as-code and cloud performance tuning.
• Define agent evaluation strategies using golden datasets, regression suites, scenario coverage, and reliability checks.
• Instrument and monitor agent behavior using tool-call traces, latency and cost metrics, and failure-mode analysis to drive iterative improvements.
• Design and execute complex unit, integration, and automated test cases; analyze test failures and implement fixes and automation contributions.
• Collaborate with QA and DevOps teams to improve CI/CD pipeline capabilities.
• Translate high-level architecture into low-level designs and maintain design artifacts under architects and staff engineers.
• Understand existing system architecture and communicate trade-offs during design sessions with product, UX, and business stakeholders.
• Contribute to feature planning and estimation for enhancements.
• Lead technical discussions, mentor junior engineers, and support knowledge sharing.

Required Qualifications

• Deep understanding of core programming concepts, system design principles, and application performance optimization.
• Hands-on experience building agentic systems with LLMs, including tool-use, orchestration, multi-step flows, verification and validation patterns, and MCPs.
• Proficiency in one or more agentic frameworks: LangChain/LangGraph, OpenAI Agents SDK, Microsoft Semantic Kernel, Microsoft AutoGen, CrewAI, or similar.
• Ability to write clean, efficient, and maintainable code across at least one modern full-stack environment.
• Experience with .NET ecosystem frameworks and ReactJS is a plus.
• Strong debugging skills for complex issues with minimal guidance.
• Proven end-to-end ownership of features or components from design through deployment.
• Accountability for risk identification, early escalation, and resolution planning.
• Strong ability to break down complex problems into actionable technical work.
• Experience conducting code reviews to verify correctness, detect side effects, and ensure alignment with documented standards.
• Clear technical communication across engineering teams and stakeholders.
• Comfort building partnerships with QA, DevOps, Product, and other engineering teams.
• Experience providing constructive feedback in reviews and mentoring junior engineers.
• Ability to prioritize and deliver high-quality, tested, and secure code aligned with sprint goals and timelines.
• Capability to manage multiple competing tasks and changing priorities with discipline.
• Contribute to improving team processes, standards, and tooling.
• Stay current on new technologies and apply relevant practices.
• 6–9 years of software engineering experience with a track record of shipping production-grade systems.
• Demonstrated experience shipping AI/LLM-powered features into real user workflows (agents/agentic-frameworks, RAG, tool-calling, workflow automation).
• Proficiency with full-stack components and technologies including 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 in collaborative settings.
• High attention to detail and experience working with large codebases.
• Proactive mindset to work independently and manage competing priorities.
• Excellent written and verbal communication skills, including the ability to document and present technical concepts.
• Awareness of stalled progress and willingness to ask for help or confirmation.

Technologies

• LLMs, MCPs, LangChain, LangGraph, OpenAI Agents SDK, Microsoft Semantic Kernel, Microsoft AutoGen, CrewAI
• APIs, .NET, ReactJS, SQL, NoSQL, Redis
• Containerization, Kubernetes, Azure cloud environments
• Infrastructure-as-code, CI/CD, Docker, cloud services (AWS/Azure)
• RAG, tool-calling, golden datasets, regression suites

Benefits

• 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

Location

Dallas, TX (hybrid)

Minimum Experience

6 years

Certificates and Licenses

• 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.