Senior Software Engineer (Python / Java, GenAI Development, 3-6 years' experience)

Engg; Karnataka; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Visa seeks a Senior Software Engineer to join the VAS Sales and Client Service team. You will design and build AI-driven solutions, including generative AI, for sales enablement and client service workflows, collaborating with cross-functional teams to deliver complex projects and modernize platforms.

You will work on API integration, enterprise-scale AI systems, and deployment architectures, leveraging Docker, Kubernetes, Redis, and CI/CD pipelines to ensure robust, secure, and scalable

Qualifications

• 3-6 years of relevant work experience and a Bachelor's degree or with an advanced degree.
• Self-driven and willing to work across technologies/languages.
• Expert-level skills in Python or Java.
• Experience in building Generative AI applications, conversational AI, RAG architectures, techniques and libraries.
• Proven track record of leading AI projects from conception to deployment.
• Ability to design and implement full-stack AI systems that integrate with existing business processes, including sales and client service workflows.
• Experience in designing robust AI systems that can handle distribution shifts and adversarial attacks.
• Deep understanding of the latest AI research and industry trends.
• Familiarity with common robustness issues in AI systems.
• Ability to work with large datasets and perform exploratory data analysis.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Experience in configuring build and deployment systems Docker, Jenkins, and Kubernetes.
• Expertise in handling multi-threading, concurrency, and error-handling.
• Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing large components for enterprise projects.
• Knowledge of version control, CI/CD pipelines, and best practices for ML model deployment.
• Ability to design and implement AI components and integrate them into larger systems.
• Ability to lead cross-functional teams and communicate complex AI concepts to non-technical stakeholders.
• Working knowledge using distributed in-memory computing technologies like Redis.
• Hands-on experience with Jenkins and container deployment architecture.
• Experience using OAuth2.0, SSO, and authentication methods/protocols.
• Expertise in application security, SSDLC, and knowledge of cryptography fundamentals.

Responsibilities

• Innovative Development: Engage in the design, development, and implementation of innovative software solutions, including generative AI and modern integration patterns, applied to sales enablement, account management, and client service workflows.
• Collaborative Engineering: Collaborate with cross-functional teams to develop and deliver complex projects that integrate emerging technologies with our existing sales and client service platforms.
• Continuous Learning: Engage in continuous learning and development, actively seeking opportunities to enhance your skills and knowledge.
• Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring that sales and client service platforms deliver exceptional value and a seamless client experience.
• API and Integration Development: Contribute to the design and development of APIs that enhance the integration of CRM, sales enablement, and client service applications, platforms, and solutions.
• Technology Modernization: Participate in the advancement of our modernization roadmap by adopting best-in-class technology solutions for our sales and client service platforms, expanding our market reach and client base.
• Process Improvement: Continuously assess and improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time-to-market.
• Engineering Excellence: Adhere to industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience.
• Automation and Best Practices: Implement best engineering practices and automate software development, testing, and deployment processes.
• Incident and Change Management: Support incident management, change, and problem management processes to ensure high availability and reliability.

Skills

Python

Java

Generative AI

RAG architectures

Docker

Kubernetes

Redis

OAuth2.0/SSO

CI/CD

Education

Bachelor's degree

Tools

Docker

Jenkins

Kubernetes

Redis

Job description

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

Role Summary

We are seeking a talented and motivated Senior Software Engineer to join our VAS Sales and Client Service team. As a key member of the team, you will play a critical role in developing cutting‑edge AI‑driven solutions, leveraging innovative technologies, and enhancing the capabilities of the tools and platforms that power our Value‑Added Services (VAS) sales and client service functions. You will be tasked to quickly grasp and evaluate new ideas and technologies from both internal and external sources and match them appropriately with emerging technology and business opportunities that improve seller productivity and client service outcomes, building a culture of innovation and a drive for excellence.

Key Responsibilities

• Innovative Development: Engage in the design, development, and implementation of innovative software solutions, including generative AI and modern integration patterns, applied to sales enablement, account management, and client service workflows.
• Collaborative Engineering: Collaborate with cross‑functional teams to develop and deliver complex projects that integrate emerging technologies with our existing sales and client service platforms. Work closely with Sales Operations, Product Office, Operations & Infrastructure, Cybersecurity, and other Product Development teams to build comprehensive solutions.
• Continuous Learning: Engage in continuous learning and development, actively seeking opportunities to enhance your skills and knowledge. Collaborate with peers to share insights and drive team growth.
• Client‑Focused Solutions: Develop solutions with a client‑centric mindset, ensuring that sales and client service platforms deliver exceptional value and a seamless client experience. Engage with stakeholder feedback to refine and improve our offerings.
• API and Integration Development: Contribute to the design and development of APIs that enhance the integration of CRM, sales enablement, and client service applications, platforms, and solutions.
• Technology Modernization: Participate in the advancement of our modernization roadmap by adopting best‑in‑class technology solutions for our sales and client service platforms, expanding our market reach and client base.
• Process Improvement: Continuously assess and improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time‑to‑market.
• Engineering Excellence: Adhere to industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience. Contribute to the management and reduction of technical debt within projects.
• Automation and Best Practices: Implement best engineering practices and automate software development, testing, and deployment processes. Ensure the timely delivery and maintenance of multiple services, focusing on continuous improvement.
• Incident and Change Management: Support incident management, change, and problem management processes to ensure the high availability and reliability of our sales and client service systems. Participate in root‑cause analysis and troubleshooting to resolve issues effectively.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications

• 3-6 years of relevant work experience and a Bachelor's degree or with an advanced degree.
• Self‑driven and willing to work across technologies/languages.
• Expert‑level skills in Python or Java.
• Experience in building Generative AI applications, conversational AI, RAG architectures, techniques and libraries.
• Proven track record of leading AI projects from conception to deployment.
• Ability to design and implement full‑stack AI systems that integrate with existing business processes, including sales and client service workflows.
• Experience in designing robust AI systems that can handle distribution shifts and adversarial attacks.
• Deep understanding of the latest AI research and industry trends.
• Familiarity with common robustness issues in AI systems.
• Ability to work with large datasets and perform exploratory data analysis.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Experience in configuring build and deployment systems Docker, Jenkins, and Kubernetes.
• Expertise in handling multi‑threading, concurrency, and error‑handling.
• Demonstrated proficiency in troubleshooting, root‑cause analysis, application design, and implementing large components for enterprise projects.
• Knowledge of version control, CI/CD pipelines, and best practices for ML model deployment.
• Ability to design and implement AI components and integrate them into larger systems.
• Ability to lead cross‑functional teams and communicate complex AI concepts to non‑technical stakeholders.
• Working knowledge using distributed in‑memory computing technologies like Redis.
• Hands‑on experience with Jenkins and container deployment architecture.
• Experience using OAuth2.0, SSO, and authentication methods/protocols.
• Expertise in application security, SSDLC, and knowledge of cryptography fundamentals.

Preferred Qualifications

• SaaS product development experience, including Dynamics 365 CRM.
• Experience integrating AI/ML capabilities into CRM or sales enablement platforms.
• Fami