Backend / Systems Agentic Engineer (SG)

Arta Finance, Inc.

Singapore

Presencial

SGD 120 000 - 180 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Robust health insurance for you and a1
20 weeks parental leave
15 days PTO annually
Internet reimbursement SG$75/month

Resumo da oferta

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,

Qualificações

  • 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.

Responsabilidades

  • 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.

Conhecimentos

Python
Distributed systems
RESTful APIs
gRPC
Microservices
SQL & NoSQL databases
AI coding tools
LLM frameworks
Problem solving
Communication

Ferramentas

Temporal
Sentry
Datadog

Descrição da oferta de emprego

The Company

Arta is on an audacious and incredibly rewarding mission: to pave the way for people everywhere to lead more successful financial lives. Arta leverages AI and sophisticated digital tools to make financial products once reserved for ultra-high-net-worth individuals accessible to a broader global audience. Think of it as your own digital family office, combining intelligent investment strategies, alternative assets, private market access, and smart automation to help you grow and protect your wealth effortlessly. We value trust, teamwork, and adaptability.

The Role

In this role, you will design and build the backend systems and infrastructure that power Arta’s mission-critical financial services. You’ll own services end-to-end, from API design to data models to production reliability, while working extensively with AI coding agents and LLM-based tooling to ship faster and operate at higher leverage than a traditional backend team.

You’ll collaborate with product managers, frontend engineers, and ML engineers to deliver resilient backend services that handle real money, real data, and real users.

What You Will Do
  • Design, develop, and maintain backend services, APIs, and data pipelines that power Arta’s investment and wealth management platform

  • Make architectural decisions on system design, data modeling, service boundaries, and infrastructure

  • Write clean, well-tested, observable code, and use AI coding agents ( Claude Code, Cursor , etc.) as a core part of your daily workflow to accelerate delivery without sacrificing quality

  • Build and integrate LLM and agent-powered backend capabilities where they unlock product value (e.g., automated workflows, intelligent data processing, agent-driven user experiences)

  • Optimize for performance, scalability, and reliability across distributed services

  • Integrate with third-party financial APIs, brokerage systems, market data providers, and cloud infrastructure

  • Set up logging, monitoring, and alerting ( Sentry, Datadog , etc.) and participate in on-call and incident response

  • Drive engineering best practices around code review, testing, and evaluation, including evals for any AI/agent-driven systems you ship

  • Partner with product and design to translate ambiguous problems into well-scoped backend solutions

  • Design and build reliable agent orchestration workflows using Temporal, leveraging state machines and workflow orchestration patterns to manage complex, long-running backend processes.

Who You Are
  • At least 6 years of backend software development experience, with strong proficiency in Python (or similar)

  • Deep understanding of distributed systems, RESTful and/or gRPC APIs , microservices, and database systems ( SQL and NoSQL )

  • Experience designing for reliability, performance, and security in production environments

  • Fluency with AI coding tools and a track record of using them to materially raise your output and code quality

  • Experience building with LLMs and/or agent frameworks (tool use, function calling, MCP, evals) or strong interest and aptitude to ramp up quickly

  • Strong problem-solving skills and ability to work independently in a fast-paced environment

  • Excellent communication and collaboration skills

  • Prior experience in trading platforms, brokerage systems, or financial infrastructure is a big plus, but not a must

Interview Process
  1. Intro call with the Head of Talent, 30m

  2. Technical Interview 1: Coding (in Python)/Algorithm/Data Structure, 60m

  3. Technical Interview 2: System Design, 60m

  4. Technical Interview 3: AI-augmented Interview, 60m

  5. Culture Interview with the Chief of Staff, 30m

What We Offer
  • Robust health insurance offering for you and your family

  • 20 weeks of parental leave

  • 15 days PTO annually plus national and company holidays

  • Up to SG$75 per month reimbursement for internet

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