Senior Software Engineer – GenAI Payments Platform

Bot Jobs

United States

On-site

USD 140,000 - 190,000

Full time

11 days ago
Application generator

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Job summary

Bot Jobs is seeking a Senior Software Engineer to join our high‑performance Payment Product engineering team. You will design, develop, and deploy scalable full‑stack applications enhanced with Generative AI capabilities, collaborating with PMs, DevOps, and fellow engineers in an agile environment.

You will work with LLM frameworks, orchestration tools, and AI-assisted delivery to improve customer experience and operational efficiency while maintaining production reliability and code quality.

Qualifications

  • 3–6 years of hands-on software engineering with enterprise Java apps.
  • Experience with Spring Boot, REST, microservices, and modern front-end (Angular/React).
  • Experience with AI-assisted software delivery and productivity tools.
  • Strong CI/CD, testing, and code quality practices.
  • Agile delivery experience with ownership of stories and delivery.
  • Experience in finance/payments domain is a plus.

Responsibilities

  • Design, develop, and deploy scalable full‑stack apps with GenAI capabilities.
  • Integrate AI components and agents with APIs and data sources.
  • Develop GenAI workflows like retrieval pipelines and RAG systems.
  • Ensure code quality, testing, and production readiness.
  • Collaborate with Product, DevOps, and peer engineers.
  • Contribute to technical design discussions and documentation.

Skills

Java
Spring Boot
RESTful APIs
Microservices
Angular/React
CI/CD
Agile
AI-assisted dev tools
Prompt engineering
Distributed systems

Education

Bachelor's degree in CS or related
Advanced degree (Masters, MBA, etc.)

Tools

Git
Jenkins
Kubernetes
Big Data / Kafka
LLM frameworks

Job description

Bot Jobs is seeking a Senior Software Engineer to join our high‑performance Payment Product engineering team. You will design, develop, and deploy scalable full‑stack applications enhanced with Generative AI capabilities, collaborating with PMs, DevOps, and fellow engineers in an agile environment.

You will work with LLM frameworks, orchestration tools, and AI-assisted delivery to improve customer experience and operational efficiency while maintaining production reliability and code quality.

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