Design, develop, and maintain backend services using Python, build and optimize RESTful APIs and microservices, and work with cloud platforms such as Microsoft Azure or GCP.
Responsibilities
Design, develop, and maintain backend services using Python
Build and optimize RESTful APIs and microservices
Work with Microsoft Azure (priority) or GCP to design, deploy, and manage cloud solutions
Implement CI/CD pipelines and automated testing workflows
Work with Docker and Kubernetes in production environments
Full-stack Software Engineer in Japan to build and ship product features for Unravel Carbon’s decarbonization platform.
Responsibilities
Build and ship the product
Design, build and ship production features across the platform, including our carbon calculation engine, data ingestion pipelines and AI-powered workflows
Take ownership of complex problems end to end, from scoping and technical design through to delivery and iteration
Develop integrations with customers' accounting and ERP systems
Support global users and local requirements
Requirements
Bachelor's degree in Computer Science, Engineering, IT, or equivalent practical experience
Nice to have: Experience building data-intensive products
Nice to have: Experience building with LLMs or agentic workflows
Nice to have: Integrations with accounting or ERP systems
Lead full‑stack GenAI‑enabled application development, mentor engineering teams, and design scalable AI systems integrated with Visa’s product ecosystem.
Compensation
For roles located in the US, the estimated salary range for this position is $154,900.00 to $ 248,200.00 USD per year, which may include potential sales incentive payments (if applicable).
Responsibilities
Architect and deliver GenAI‑enabled applications leveraging LangGraph, LangChain, Haystack, and AWS GenAI services
Build reusable GenAI components, SDKs, pipelines, and abstraction layers
Develop end‑to‑end AI applications using Python, FastAPI, Flask, Node.js, React + TypeScript
Design intuitive, responsive, production‑grade user interfaces for GenAI‑powered tools
Design and build data workflows supporting AI systems, including ETL/ELT pipelines and embedding pipelines