Software Engineer - Sr. Consultant level (11+ years, Python or Java, GenAI)

Visa; Bengaluru; Hybrid; INR 1,500,000 - 2,200,000; Full time

Job summary

A leading payments technology company in Bengaluru is seeking a Software Engineer to join their Innovation team. The role involves developing innovative software solutions, particularly in Generative AI, while collaborating with cross-functional teams. Ideal candidates will have 8+ years of experience, proficiency in Java and Python, and a strong background in AI technologies. This hybrid position offers opportunities for professional growth in a dynamic environment.

Qualifications

• 8+ years of experience with a Bachelor's Degree or equivalent.
• Proficient in Java and Python; knowledge of C++ and C# is a plus.
• Experience with large datasets and exploratory data analysis.

Responsibilities

• Design and develop APIs for VAS applications.
• Collaborate on complex projects integrating emerging technologies.
• Engage in continuous learning to enhance skills.

Skills

Java

Python

Generative AI applications

NLP

TensorFlow

Docker

Kubernetes

ReactJS

Machine Learning

Education

Bachelor’s Degree

Advanced Degree (Master's, MBA, etc.)

Tools

Jenkins

scikit-learn

PyTorch

CI/CD pipelines

Job description

Software Engineer - Sr. Consultant level (11+ years, Python or Java, GenAI)

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely each year worldwide. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while uplifting everyone, everywhere.

Job Description

We are seeking a talented and motivated Software Engineer to join the VAS Innovation team. As a key member, you will develop cutting‑edge solutions, leverage innovative technologies, and enhance the capabilities of our Value‑Added Services (VAS) platform.

Essential Functions

• Engage in the design, development, and implementation of innovative software solutions, including generative AI and modern integration patterns.
• Collaborate with cross‑functional teams to develop and deliver complex projects that integrate emerging technologies with existing platforms.
• Engage in continuous learning and development, seeking opportunities to enhance your skills and knowledge.
• Develop client‑centric solutions, ensuring the VAS platform delivers exceptional value and innovation.
• Design and develop APIs that enhance integration of VAS applications, platforms, and solutions.
• Participate in the modernization roadmap by adopting best‑in‑class technology solutions for our core platform.
• Continuously assess and improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time‑to‑market.
• Adhere to industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience.
• Implement best engineering practices and automate software development, testing, and deployment processes.
• Support incident, change, and problem management processes to ensure system availability and reliability.

This is a hybrid position; days in the office will be confirmed by your Hiring Manager.

Basic Qualifications

• 8+ years of relevant work experience with a Bachelor’s Degree, or at least 5 years with an Advanced Degree (e.g., Masters, MBA, JD, MD) or 2 years with a PhD.
• Proficient in Java and Python; knowledge of C++ and C# is a bonus.
• Experience in building Generative AI applications, conversational AI, and RAG architectures.
• In-depth understanding of NLP, tokenization, word embeddings, and basic sequence models.
• Proficiency in implementing and fine‑tuning AI models using TensorFlow, PyTorch, or scikit‑learn.
• Understanding of model compression techniques, transfer learning concepts, and AI robustness issues.
• Exposure to Machine Learning, Deep Learning, Stream Computing, and MLOps.
• Proficiency in front‑end web development (ReactJS, Angular, NodeJS).
• Experience with large datasets, exploratory data analysis, feature engineering, and model evaluation.
• Experience configuring build and deployment systems: Docker, Jenkins, Kubernetes.
• Expertise in multi‑threading, concurrency, error‑handling, and troubleshooting.
• Knowledge of CI/CD pipelines and best practices for ML model deployment.
• Experience with OAuth2.0, SSO, and authentication protocols.
• Security fundamentals: application security, SSDLC, and cryptography basics.
• Payments technology industry experience is a plus.

Preferred Qualifications

• 9+ years of relevant experience with a Bachelor’s Degree, or 7+ years with an Advanced Degree (Masters, MBA, JD, MD) or 3+ years with a PhD.
• Advanced expertise in deep learning architectures (CNNs, RNNs, Transformers), reinforcement learning, generative models (GANs, VAEs), and advanced NLP techniques (zero‑shot, few‑shot learning).
• Experience implementing efficient deep learning techniques: model pruning, quantization, knowledge distillation, and parameter‑efficient fine‑tuning (LoRA, adapter layers).
• Deep knowledge of transfer learning, domain adaptation, and continuous learning strategies.
• Ability to design robust AI systems that handle distribution shifts and adversarial attacks.
• Leadership experience in cross‑functional AI teams and communicating complex AI concepts to non‑technical stakeholders.
• Working knowledge of distributed in‑memory technologies (Redis) and enterprise security (certificate management).
• Hands‑on experience with Jenkins, container deployment architecture, and container orchestration.
• Proven track record of leading AI projects from conception to deployment.

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 qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.