Arta
Financial Services
Backend/SystemsAgenticEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Backend / Systems Agentic Engineer at Arta. Skills: Backend services, AI coding agents, LLM-based tooling, Distributed systems. Design backend services. Develop backend services”
What You'll Achieve.
Pave the way for people everywhere to lead more successful financial lives; Make financial products accessible to a broader global audience; Grow and protect wealth effortlessly; Ship faster; Operate at higher leverage; Deliver resilient backend services; Accelerate delivery without sacrificing quality; Unlock product value
Industry & Context.
Problem-solving skills; Translate ambiguous problems into well-scoped backend solutions
On-call, Incident response
What They're Looking For.
Must Have
6 years of backend software development experience, Proficiency in Python, Deep understanding of distributed systems, RESTful and/or gRPC APIs, Microservices, Database systems (SQL and NoSQL), Designing for reliability, performance, and security in production environments, Fluency with AI coding tools, Experience building with LLMs and/or agent frameworks, Problem-solving skills, Ability to work independently in a fast-paced environment, Excellent communication and collaboration skills
Nice to Have
Prior experience in trading platforms, Prior experience in brokerage systems, Prior experience in financial infrastructure
What You'll Do.
Design backend services
Develop backend services
Maintain backend services
Design data pipelines
Develop data pipelines
Maintain data pipelines
Make architectural decisions
Write well-tested code
Write observable code
Build LLM capabilities
Integrate LLM capabilities
Build agent-powered capabilities
Integrate agent-powered capabilities
Optimize for performance
Optimize for scalability
Optimize for reliability
Integrate with third-party APIs
Integrate with brokerage systems
Integrate with market data providers
Integrate with cloud infrastructure
Participate in on-call
Participate in incident response
Drive engineering best practices
Translate ambiguous problems
How You'll Work.
Team & Collaboration
Collaborate with product managers; Collaborate with frontend engineers; Collaborate with ML engineers; Collaborate with product; Collaborate with design
Communication Scope
Excellent communication skills
Full Job Description
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, D
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