Sr. Staff SW Engineer
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
The Opportunity
We are looking for a dedicated curious and highly skilled Software Engineer to help architect and build intelligent AI-native platforms that operate at global scale.
In this role you will take ownership of critical technical components across intelligent application layers - from backend services and orchestration engines to front-end interaction models. You will build production-grade systems that integrate large language models retrieval frameworks enterprise APIs and workflow automation capabilities.
The Work Itself
Design and implement scalable AI-enabled services integrating LLMs RAG pipelines semantic search and enterprise data systems
Build orchestration layers supporting multi-step workflows tool invocation and context-aware task execution
Develop secure performant APIs that connect intelligent systems with internal platforms and data sources
Contribute to full-stack development including intuitive humanAI interaction experiences
Ensure production readiness through monitoring evaluation observability and performance optimization
Improve reliability latency and scalability of AI-powered services
Provide technical guidance to engineers within the team on complex system design and implementation challenges
Contribute to reusable components and engineering best practices for AI-native development
Essential Functions
Partner with product and engineering teams to translate AI-driven requirements into robust technical designs
Independently lead the technical implementation of high-complexity features or subsystems
Make critical architectural decisions within defined product or platform boundaries
Identify technical risks early and propose scalable maintainable solutions
Contribute to documentation and knowledge sharing for AI-enabled system patterns
Participate in sprint planning estimation and retrospectives.
Apply secure coding practices and comply with regulatory and data protection standards.
The Skills You Bring
Advanced Systems Engineering:
Strong experience designing distributed systems APIs and scalable backend services.
AI Application Experience:
Hands-on experience building or integrating generative AI capabilities such as LLMs RAG architectures embeddings semantic retrieval or workflow automation.
Full Stack Proficiency:
Experience developing backend systems (e.g. Java Python C# C) and collaborating on or contributing to modern front-end frameworks.
Execution Depth:
Ability to independently deliver complex cross-service features with attention to performance reliability and maintainability.
Enterprise Integration:
Experience integrating applications with internal APIs data platforms and secure enterprise environments.
Production Mindset:
Experience operationalizing AI-enabled services including logging evaluation monitoring and scalability considerations.
Collaborative Engineering:
Ability to work effectively across Product Data Science DevOps and Agile teams.
We value engineers who combine deep technical expertise with curiosity about emerging AI technologies and who thrive in building complex high-impact systems.
Qualifications :
Basic Qualifications
Masters degree in Math Science Engineering or Computer Science Information Systems or related field AND minimum six (6) years of experience in a directly related field. OR
Bachelors degree in Math Science Engineering or Computer Science Information Systems or related field AND minimum eight (8) years of experience in a directly related field. OR
Minimum eleven (11) years of directly related experience.
Preferred Qualifications
Experience developing both front-end and back-end components for enterprise platforms.
Experience building or integrating generative AI applications including large language models (LLMs) retrieval-augmented generation (RAG) embeddings or semantic search systems.
Experience building or integrating generative AI applications including large language models (LLMs) retrieval-augmented generation (RAG) embeddings or semantic search systems.
Experience working with structured and unstructured data sources vector databases and knowledge indexing systems.
Experience deploying services in cloud-native environments using containerization and CI/CD pipelines.
Exposure to payments fintech or high-volume transactional systems.
Experience implementing observability evaluation and performance monitoring for production systems
Strong understanding of distributed systems data structures and system integration patterns.
Additional Information :
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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
About Company
Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and b ... View more
