Senior Engineer - Full Stack

Ryan; Hyderabad; Presencial; INR 3.000.000 - 6.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Global award-winning culture

Flexible work environment

Generous paid time off

World-class benefits and compensation

Rapid growth opportunities

Company Sponsored Two-Way Transport

Exponential career growth

Descripción de la vacante

Ryan is seeking a Senior Engineer to design, develop, and deliver robust AI-driven software systems. You will own complex components, lead feature implementation, and promote engineering best practices within your squad.

You will collaborate with cross-functional teams, contribute to architectural discussions, and ensure AI solutions align with user needs, business goals, safety expectations, and performance constraints. Strong ownership and independent work will be required.

Formación

• Six to nine years of software engineering experience.
• Proven delivery of AI- and LLM-powered features in real user workflows.
• Experience with agent orchestration, tool use, and workflow automation.
• Proficiency in at least one modern full-stack technology stack (e.g., .NET, React).
• Ability to debug complex issues and propose pragmatic solutions.

Responsabilidades

• Translate business needs into agentic workflows and production-ready full-stack components (APIs, services, UIs).
• Design and document functional and technical specs for mid-sized to large components.
• Implement agent orchestration and integrations with emphasis on safety and reliability.
• Review code for performance, scalability, and maintainability.
• Collaborate with QA, DevOps, and product teams to improve CI/CD pipelines.

Conocimientos

Software engineering

AI/LLM experience

Team collaboration

Code reviews

Herramientas

LangChain/LangGraph

OpenAI Agents SDK

Microsoft Semantic Kernel

Microsoft AutoGen

CrewAI

ReactJS

.NET stack

Docker

Kubernetes

Descripción del empleo

• Assist in translating high-level architecture into low-level designs.

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.
• Seek 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.