Specialist - Software Development & Engineering
Charles Schwab · On-site · Full-time · Hyderabad, Telangana, India
Posted (17h ago)
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- Employer posted
- First seen here
- Repost check
- Same job ID since we first saw it on Nov 4, 2026. If Charles Schwab reposts it, we keep the original posting date.
- Level
- Mid-level
- Work setup
- On-site
- Tech mentioned
- Java, .NET, GCP, AWS, Azure
- Charles Schwab hiring
- 184 roles posted in the last 30 days
Job description
Your opportunity At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape. Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations – it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region . We are seeking a Specialist AI Software Engineer to join a forward-thinking engineering team that builds software using modern AI-augmented development practices. In this role, you will leverage Generative AI tools throughout the full development lifecycle — from design and coding to testing and documentation — while maintaining high standards of quality, security, and maintainability. This position is ideal for engineers with a solid software engineering foundation who are curious, adaptable, and eager to deepen their expertise at the intersection of software engineering and AI. What you have Required: • Bachelor's degree in Computer Science or equivalent practical experience. • 2+ years of software development experience. • Solid foundation in computer science fundamentals, including: o Algorithms and data structures o Object-oriented programming and common design patterns o Basic system design o Databases and networking o Concurrency fundamentals o Testing and CI/CD o Secure coding principles Hands-on experience using GenAI coding tools (GitHub Copilot, Cursor, or similar) in day-to-day development. • Proficiency in Java or .NET. • Ability to critically review AI-generated code for bugs, security issues, and code quality. • Exposure to agentic workflows and spec-driven development concepts, with the ability to translate basic design artifacts into AI-ready task specifications. • Practical experience with prompt engineering and authoring custom instructions to improve AI-assisted development outcomes. • Independently applies application maintenance practices and collaborates to ensure continuous support . • Tracks data pipelines and stores to support analytics and machine learning. • Handles incident responses independently while working with cross-functional teams to lessen impact . • Executes rigorous testing to ensure systems and products meet quality standards . • Effectively prioritizes requirements using roadmaps, epics, and backlogs . • Independently implements security controls to secure the IT environment . • Independently executes software design techniques that meet project requirements . • Applies standards and processes to create and verify software components . • Deploys software updates using containerization and orchestration tools . • Utilizes predictive or adaptive lifecycle models to develop system design components Preferred: • Exposure to building or extending AI agents using frameworks such as LangChain , Copilot Workspace, AutoGen , CrewAI , or similar. • Experience with at least one cloud platform (GCP, AWS, or Azure). • Familiarity with secure coding practices. • Experien
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Charles Schwab job ID: 2026-128063
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