As a key member of the delivery execution team, you will be responsible to design, develop, and deploy scalable web applications enhanced with modern Generative AI capabilities. This role requires strong full‑stack engineering expertise along with deep, hands‑on experience in LLM frameworks, orchestration tools, prompt engineering, and agent-based architectures to improve the effectiveness and efficiency
Responsibilities
Work independently on defined problems and features
Apply established architectural patterns with good technical judgment
Take ownership of code quality, testing, and production reliability
Integrate AI components and agents with internal/external APIs, business systems, and data sources.
Develop GenAI workflows such as retrieval pipelines, RAG systems, orchestration graphs, and agent-based architectures.
Stay current with emerging technologies, conduct Proofs of Concept (POCs), and independently drive solution delivery in an agile environment.You are expected to deliver consistently, contribute to improving the codebase and systems you work on, and operate with a production‑first mindset.
Translate functional requirements into clean, efficient, and maintainable code.
Contribute to design discussions and document implementation decisions where appropriate.
Write high‑quality, readable, and testable code aligned with defined engineering standards.
Develop and maintain automated unit and component tests.
Identify and address defects, performance issues, and reliability gaps in owned areas.
Participate in production releases and operational readiness activities.
Work closely with Product Managers, DevOps, and peer engineers.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager
Qualifications
Basic Qualification
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience. Masters graduates must have 2+ years of relevant work experience to qualify
Preferred Qualification
2–5 years of hands-on software engineering experience building, delivering, and supporting enterprise-grade Java/J2EE applications, preferably using Spring Boot, RESTful APIs, microservices, and modern front-end frameworks such as Angular or React.
Hands-on experience with AI-assisted software delivery, including effective use of generative AI coding assistants and developer productivity tools such as Claude Code CLI, GitHub Copilot, Cline, prompt engineering, AI-supported code review, test generation, documentation, and productivity workflows.
Working knowledge of applied AI concepts relevant to software engineering, such as large language models, embeddings, retrieval-augmented generation, agentic workflows, model limitations, data privacy, and responsible AI practices.
Strong foundation in software engineering principles, clean code practices, object-oriented design, data structures, algorithms, distributed systems, and scalable application architecture.
Strong experience with CI/CD pipelines, automated unit, integration, component, and regression testing, code quality gates, version control, and release automation.
Experience working in Agile delivery teams with strong ownership of stories, design decisions, engineering quality, production support, and continuous improvement.
Strong analytical, problem-solving, and debugging skills with the ability to troubleshoot complex issues across application, integration, data, infrastructure, and AI-assisted delivery workflows.
Excellent communication skills with the ability to explain technical decisions clearly, collaborate across Product, Architecture, DevOps, QA, and Security teams, and document designs and trade-offs concisely.
Experience in financial services, payments, dispute processing, or other high-volume, mission-critical enterprise platforms is a strong plus.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
