Sr. SW Engineer (Full-stack Developer, Java, Angular / React & GenAI Engineer-4+yrs of experience) at Visa

Visa

Bengaluru, INDIA, in·3h ago

SeniorFull-timeAgileAI

Salary Range

$26,520 - $35,880 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

The Finance Technology organization at Visa is seeking a Full Stack Developer & GenAI Engineer to design, develop, and deploy scalable web applications enhanced with modern Generative AI capabilities. This role plays a key part in improving the effectiveness and efficiency of the Finance business function through cutting-edge technologies.

Key Responsibilities

→Design, build, and maintain full-stack applications using a range of front-end and back-end technologies
→Participate in the complete software development lifecycle, including version control, build processes, testing, deployment, and release management
→Apply hands-on experience in Generative AI, including LLM model development, fine-tuning, prompt engineering, evaluation workflows, and GenAI ecosystem tools
→Design and implement LLM-powered applications, AI agents, and intelligent automation solutions
→Own the end-to-end lifecycle of AI features—from concept, design, and architecture to deployment, monitoring, and iteration
→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
→Mentor junior engineers and contribute to best practices for building AI-enabled applications
→Stay current with emerging technologies, conduct Proofs of Concept (POCs), and independently drive solution delivery in an agile environment
→Write and maintain automated test cases to ensure application quality and stability
→Support, optimize, and enhance applications after deployment
→Build systems with high scalability, resiliency, observability, and strong monitoring practices
→Work with limited direction in complex environments, consistently meeting service levels and delivery commitments
→Cultivate strong working relationships with team members, business partners, and technology stakeholders through collaboration, communication, and accountability

Requirements

✓Strong full-stack engineering expertise
✓Deep, hands-on experience in LLM frameworks, orchestration tools, prompt engineering, and agent-based architectures
✓At least 2+ years of hands-on experience in Generative AI
✓Experience with web applications and AI integration
✓Ability to work in a team-oriented and fast-paced environment
✓Proven ability to take initiatives and solve complex business problems
✓Experience with automated testing (e.g., JUnit)