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.