Senior Software Development Engineer

Quick Facts

• Role: Senior Software Development Engineer (Payments Products Development)
• AI-enabled innovation and AI system engineering
• API, integration, and platform modernization
• Office-based with at least 3 days in office; travel 5–10%

Description

Design, develop, and integrate AI-enabled solutions for payment product platforms, leveraging generative AI, conversational AI, and retrieval-augmented generation (RAG). Engineer AI components across the lifecycle—from data preparation and model evaluation to deployment, monitoring, and continuous improvement—delivering secure and scalable business solutions. Collaborate with cross-functional teams and continuously improve engineering practices, quality, and time to market.

Responsibilities

• Design and implement generative AI and conversational AI solutions using RAG and modern integration patterns
• Design, integrate, and operate AI components within larger platforms; address robustness, quality, security, and reliability
• Collaborate with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams
• Develop client-focused solutions and use client feedback to refine offerings
• Contribute to API design and development across payment product applications, platforms, and AI services
• Advance technology modernization for core platforms
• Continuously improve technology stacks and development processes, including responsible use of AI-assisted engineering tools
• Automate software development, testing, deployment, and maintenance; validate AI-generated outputs with rigorous engineering review
• Support incident, change, and problem management, including root-cause analysis and troubleshooting
• Apply engineering best practices for quality, security, performance, scalability, availability, resilience, and technical debt reduction

Requirements

• 2+ years of relevant work experience with a Bachelor’s degree OR 5+ years of relevant work experience
• Expert-level skills in Java, Python, and Node.js (C++ or C# is a plus)
• Experience building Generative AI applications, conversational AI solutions, and RAG architectures
• Strong understanding of NLP concepts (tokenization, word embeddings, sequence models)
• Proficiency implementing and fine-tuning ML models using TensorFlow, PyTorch, or scikit-learn
• Working knowledge of ML/DL fundamentals (neural networks, training, transfer learning, model compression)
• Ability to design, implement, and integrate AI components into enterprise systems
• Understanding of robustness, reliability, security, and responsible-use considerations in AI systems
• Experience with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation

Benefits

• Medical, Dental, Vision
• 401(k), FSA/HSA, Life Insurance
• Paid Time Off and Wellness Program
• Eligible for bonus and equity; US salary range varies by factors such as skills, experience, and location