Senior Engineer - Full Stack

About the role

As a Senior Engineer, you will play a pivotal role in the design, development, and delivery of robust, scalable, and secure AI-driven software systems. You'll be expected to own complex components, lead critical feature implementation, and drive engineering best practices within your squad. This role bridges the execution gap between high-level design and detailed implementation, with active participation in solutioning, system integration, evaluation, and continuous improvement initiatives. You will collaborate with cross-functional teams, contribute to architectural discussions, and ensure that AI solutions align with user needs, business goals, safety expectations, and performance constraints. This role demands hands-on engineering capabilities, a high degree of ownership, and the ability to work independently as well as within a team. Key Responsibilities Software Design and Development Translate business needs into agentic workflows and production-ready full-stack components (APIs, services, UIs). Design and document functional and technical specifications for mid-to-large components. Implement agent orchestration, tool-use, and integrations with 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 & Middleware 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. Cloud, DevOps & Configuration Develop and participate in deploying software in Azure cloud environments. Configure platform-specific deployment scripts and troubleshoot build-release issues. Participate in infrastructure-as-code practices and cloud performance tuning. Testing & Automation Define evaluation strategies for agent behavior: golden datasets, regression suites, scenario coverage, and reliability checks. Instrument and monitor agent behavior (tool-call traces, latency/cost metrics, 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 QA and DevOps teams to drive CI/CD pipeline enhancements. 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 & Execution Work closely with product managers, 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 Deep understanding of core programming concepts, system design principles, and application performance optimization Hands-on experience building agentic systems with LLMs (tool-use, orchestration, multi-step flows, verification/validation patterns). Proficient in one or more agentic-frameworks (LangChain/LangGraph, OpenAI Agents SDK, Microsoft Semantic Kernel, Microsoft AutoGen, CrewAI, etc.) Proficient in writing clean, efficient, and maintainable code across at least one modern full-stack; Experience using frameworks in .NET ecosystem with ReactJS is a plus Ability to debug complex issues and propose effective solutions with minimal guidance Solution Ownership Demonstrates end-to-end ownership of features or components from design to deployment Proactively anticipates risks, raises concerns early, and takes accountability for resolving them Capable of breaking down complex problems into actionable technical work Review code to ensure correct functionality, potential holistic solutions, identify unexpected side effects, and conforming to documented standards Collaboration & Influence Communicates technical ideas clearly across teams and stakeholders Builds strong partnerships with QA, DevOps, Product, and other engineering teams Provides constructive feedback in code and design reviews, mentors junior engineers effectively Execution Excellence Delivers high-quality, tested, and secure code consistently Prioritizes well and executes in alignment with sprint goals and timelines Manages multiple competing tasks and handles changing priorities with discipline Continuous Improvement Actively contributes to improving team processes, standards, and tooling Stays updated on n

Benefits

Additional Information

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

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Company Intel

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