AI-Driven Backend and Systems Engineer for FinTech

Arta Finance, Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Robust health insurance for you and a1

20 weeks parental leave

15 days PTO annually

Internet reimbursement SG$75/month

Job summary

Arta Finance, Inc. is seeking a senior backend engineer to design and build the backend systems and infrastructure powering its AI-driven wealth management platform.

You will own services end-to-end—from API design to data models and production reliability—working with AI coding agents and LLM tooling to accelerate delivery while maintaining high quality. You will collaborate with product managers, frontend engineers, and ML engineers to deliver resilient backend services handling real money,

Qualifications

• At least 6 years of backend software development experience.
• Strong proficiency in Python (or similar).
• Experience with distributed systems and API design (REST/gRPC).
• Background in reliable, secure production systems.

Responsibilities

• Design, develop, and maintain backend services, APIs, and data pipelines.
• Make architectural decisions on system design and infra.
• Write clean, well-tested, observable code and use AI coding agents daily.
• Build and integrate LLM/agent-powered backend capabilities.
• Optimize performance, scalability, and reliability across distributed services.
• Integrate with third-party financial APIs, brokerages, and cloud infra.
• Set up logging, monitoring, and incident response (e.g., Sentry, Datadog).
• Drive best practices around code reviews, tests, and evals for AI/agent-driven systems.
• Partner with product/design to translate problems into backend solutions.
• Design and build agent orchestration workflows using Temporal.

Skills

Python

Distributed systems

RESTful APIs

gRPC

Microservices

SQL & NoSQL databases

AI coding tools

LLM frameworks

Problem solving

Communication

Tools

Temporal

Sentry

Datadog

Job description

Arta Finance, Inc. is seeking a senior backend engineer to design and build the backend systems and infrastructure powering its AI-driven wealth management platform.

You will own services end-to-end—from API design to data models and production reliability—working with AI coding agents and LLM tooling to accelerate delivery while maintaining high quality. You will collaborate with product managers, frontend engineers, and ML engineers to deliver resilient backend services handling real money,