Why Ryan? • Global Award-Winning Culture • Flexible Work Environment • Generous Paid Time Off • World-Class Benefits and Compensation • Rapid Growth Opportunities • Company Sponsored Two-Way Transportation • Exponential Career Growth As a Senior Engineer, you will play a pivotal role in designing, developing, and delivering robust, scalable, and secure artificial intelligence (AI)-driven software systems. You will own complex components, lead critical feature implementation, and promote engineering best practices within your squad. You will help connect high-level design with detailed implementation through active participation in solution design, system integration, evaluation, and continuous improvement. You will collaborate with cross-functional teams, contribute to architectural discussions, and help ensure AI solutions align with user needs, business goals, safety expectations, and performance constraints. Success in this position requires hands-on engineering expertise, strong ownership, and the ability to work independently and collaboratively. Duties and Responsibilities Software Design and Development • Translate business needs into agentic workflows and production-ready full-stack components, including application programming interfaces (APIs), services, and user interfaces (UIs). • Design and document functional and technical specifications for mid-sized to large components. • Implement agent orchestration, tool use, and integrations with a strong focus on correctness, safety, and reliability. • Implement and review high-quality code using modern software development practices. • Conduct design and code reviews with an emphasis on performance, scalability, and maintainability. Applications Integration and Middleware • Integrate enterprise applications and services using APIs and middleware solutions. • Conduct feasibility assessments and support application interoperability testing. • Troubleshoot integration issues and support the optimization of connected systems. Cloud, DevOps, and Configuration • Develop software and participate in deployments within Microsoft Azure cloud environments. • Configure platform-specific deployment scripts and troubleshoot build and release issues. • Participate in infrastructure-as-code practices and cloud performance tuning. Testing and Automation • Define evaluation strategies for agent behavior, including golden datasets, regression suites, scenario coverage, and reliability checks. • Instrument and monitor agent behavior, including tool-call traces, latency and cost metrics, and failure modes, and drive iterative improvements. • Design and execute complex unit, integration, and automated test cases. • Analyze and resolve test failures, propose code fixes, and contribute to automation frameworks. • Collaborate with quality assurance and DevOps teams to enhance continuous integration and continuous delivery (CI/CD) pipelines. Architecture Support • Assist in translating high-level architecture into low-level designs. • Develop and maintain design artifacts under the guidance of architects and staff engineers. • Understand existing system architecture and communicate trade-offs during design sessions. Collaboration and Execution • Work closely with product managers, user experience (UX) designers, and business stakeholders. • Contribute to project planning and estimation for features and enhancements. • Lead technical discussions, mentor junior engineers, and support knowledge sharing. Required Competencies Technical Strength • Demonstrates a deep understanding of core programming concepts, system design principles, and application performance optimization. • Has hands-on experience building agentic systems with large language models (LLMs), including tool use, orchestration, multistep flows, and verification and validation patterns. • Is proficient in one or more agentic frameworks, such as LangChain/LangGraph, the OpenAI Agents Software Development Kit (SDK), Microsoft Semantic Kernel, Microsoft AutoGen, or CrewAI. • Is proficient in writing clean, efficient, and maintainable code using at least one modern full-stack technology stack. Experience with frameworks in the .NET ecosystem and ReactJS is a plus. • Can debug complex issues and propose effective solutions with minimal guidance. Solution Ownership • Demonstrates end-to-end ownership of features or components from design through deployment. • Proactively anticipates risks, raises concerns early, and takes accountability for resolving them. • Breaks down complex problems into actionable technical work. • Reviews code to confirm functionality, identify potential solutions and unexpected side effects, and ensure conformance with documented standards. Collaboration and Influence • Communicates technical ideas clearly across teams and stakeholder groups. • Builds strong partnerships with quality assurance, DevOps, Product, and other engineering teams. • Provides constructive feedback during code and design reviews and effectively mentors junior engineers. Execution Excellence • Consistently delivers high-quality, tested, and secure code. • Prioritizes work effectively and executes in alignment with sprint goals and timelines. • Manages competing tasks and changing priorities with discipline. Continuous Improvement • Actively contributes to improving team processes, standards, and tools. • Stays current on new technologies and applies relevant practices when appropriate. • Seeks feedback and adapts to strengthen performance and technical expertise. What You Bring • Six to nine years of software engineering experience, with a strong record of building production-grade systems. • Demonstrated experience delivering AI- and LLM-powered features, including agents, agentic frameworks, retrieval-augmented generation (RAG), tool calling, and workflow automation, within real user workflows. • Proficiency in at least one modern full-stack technology stack, data stores such as Structured Query Language (SQL) and NoSQL databases, Redis, containerization, Kubernetes, and Azure cloud-native services. • Strong knowledge of data structures, design patterns, and system integration techniques. • Hands-on experience with CI/CD, containers such as Docker, and cloud services such as Amazon Web Services (AWS) and Microsoft Azure. • Demonstrated ability to design, test, and debug complex systems in a collaborative environment. • Strong attention to detail and the ability to work with a large codebase. • A proactive mindset and the ability to work independently while managing competing priorities. • Excellent written and verbal communication skills, including the ability to document and present technical concepts clearly. • Recognizes when progress has stalled and asks for help or confirmation when appropriate. Why Join Us? You will join a company where innovation creates real-world impact. We are building meaningful solutions, and your expertise will help shape the future of our platform. You can expect a collaborative environment, knowledgeable colleagues, and opportunities to influence technical and business decisions that matter.