Machine Learning Engineer, AI Agent Platform

About Arta Finance

Arta is building AI infrastructure to democratise wealth management. We partner with leading financial institutions to power strategic initiatives that create competitive advantage, making high-quality personalised advice scalable. Our AI agents operate across core advisory workflows—from client servicing and suitability to portfolio research and analysis—in live, regulated environments embedded into how institutions serve clients daily.

The Role

You will design and build production-ready agent systems at the core of how financial decisions are supported and delivered. This is a foundational engineering role bridging cutting-edge AI research with enterprise deployment.

Key Responsibilities

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 operating under enterprise constraints (security, latency, cost)
• Develop APIs and platform abstractions for external partners

Bridge Research to 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

What We're Looking For

• 5+ years building production ML systems or backend systems at scale
• Strong systems thinking and ability to design robust, observable architectures
• Experience deploying models in regulated or high-stakes environments (preferred)
• Familiarity with LLM frameworks and agentic systems (beneficial)