Machine Learning Engineer, AI Agent Platform

About the role

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—once reserved for ultra-high-net-worth individuals—and makes them 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. Think: intelligent investing, personalized portfolios, and real-time trading, all backed by robust data infrastructure.

THE ROLE

Arta is building the AI infrastructure for the next generation of wealth management.

We partner with leading financial institutions to power strategic initiatives that create real competitive advantage, particularly in making high-quality, personalised advice scalable.

Our platform enables intelligent agents to operate across core advisory workflows, from client servicing and suitability to portfolio research and analysis. These systems run in live, regulated environments and are embedded into how institutions serve their clients day to day.

WHAT YOU WILL DO

You will design and build production-ready agent systems that sit at the core of how financial decisions are supported and delivered.

Build the AI Agent Platform

- Design and implement agent architectures (tool use, planning, memory, orchestration)

- Build systems for LLM orchestration, prompt management, and workflow execution

- Develop evaluation frameworks for agent quality, reliability, and safety

- Create benchmarking pipelines to measure model and system performance over time

Enable Enterprise Deployment

- Build infrastructure for self-hosted and multi-tenant deployments

- Design systems that operate under enterprise constraints (security, latency, cost)

- Develop APIs and platform abstractions for external partners

Bridge Research → Production

- Translate rapidly evolving LLM capabilities into stable, production-ready systems

- Partner with ML and product teams to integrate agents into real financial workflows

- Improve reliability, observability, and failure handling of agent systems

WHO YOU ARE

- 5+ years building production ML systems or backend systems for ML-powered products

- Hands-on experience with LLMs, agent frameworks, or applied ML systems

- Strong Python skills and experience with modern ML tooling

- Experience with agent systems, tool use, or LLM orchestration frameworks

- Experience building evaluation / benchmarking systems for ML or LLMs

- Experience designing systems beyond notebooks — APIs, services, pipelines