artafinance

Backend / Systems Agentic Engineer (SG)

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  • Workplace not specified
  • FullTime
  • Engineering
  • Singapore
Work arrangement
Not stated
Employment
FullTime
Stated compensation
Not specified
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Requirements

1 with evidence8 unclear or unstated
Minimum experience (years)
6
“At least 6 years of backend software development experience, with strong proficiency in Python (or similar)”
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Employment type
FullTime
9 fields not stated in this posting
Remote policy
Unclear
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
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Citizenship requirement
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READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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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
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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 Intro call with Recruiting Team, 30m Technical Interview 1: Coding (in Python)/Algorithm/Data Structure, 60m Leet code questions using CoderPad This round is conducted virtually on Google Meet Technical Interview 2: System Design, 60m Technical Interview 3: AI-augmented Interview, 60m Details will be briefed by the Recruiting Team 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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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 Recruiting Team, 30m

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

    1. Leet code questions using CoderPad

    2. This round is conducted virtually on Google Meet

  3. Technical Interview 2: System Design, 60m

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

    1. Details will be briefed by the Recruiting Team

  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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