Weworkremotely iconWeworkremotelyAug 12, 2026 ~1 min source read

Toptal: Senior Software Engineer for AI-Powered Banking Platform

This is a hands-on engineering role focused on backend platform development, AI integration, and distributed systems. Their platform is already serving over 100 financial institutions and more than 10 million end users.

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Useful takeaways from this story.

We are seeking a Senior Software Engineer to build and scale production-grade AI-powered financial products.

Own technical decisions across system architecture, APIs, data models, performance, security, and reliability.

The ideal candidate has strong experience with TypeScript, Python, cloud-native architectures, and applying LLMs in real-world production environments.

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The useful part

We are seeking a Senior Software Engineer to build and scale production-grade AI-powered financial products. This is a hands-on engineering role focused on backend platform development, AI integration, and distributed systems. The ideal candidate has strong experience with TypeScript, Python, cloud-native architectures, and applying LLMs in real-world production environments.

How it works

  • Their platform is already serving over 100 financial institutions and more than 10 million end users.
  • This role combines platform engineering with practical AI implementation, requiring an engineer who enjoys building production systems rather than conducting AI research.
  • Own technical decisions across system architecture, APIs, data models, performance, security, and reliability.
  • Collaborate closely with product, design, data, and engineering leadership to deliver customer-facing features.
  • General Information Our client is a fast-growing, Series A-backed AI company delivering agentic AI solutions to banks and credit unions.

What to take from it

Engineering, CTO, and CEO to design, build, and operate scalable backend services and AI-powered applications. Tasks and Deliverables Design, develop, and maintain scalable backend services powering AI-driven financial products. Build backend applications using TypeScript and Python, while contributing to frontend functionality with JavaScript when needed.

Example or evidence

  • Define engineering best practices around code quality, testing, deployment, and incident response.
  • Utilize modern AI development tools to improve engineering productivity and software quality.

Details worth keeping

Integrate LLMs and agentic AI capabilities into production software.

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