Arta
Machine Learning Engineer, AI Agent Platform
$150K–$250K
Bay Area · Hybrid · Full-time · Posted Apr 13, 2026
- Experience
- 5+ years building production ML systems or backend systems for ML-powered products.
About the job
Build and deploy production-ready AI agent platform systems that support financial advisory workflows in regulated enterprise environments.
What you'll do
- Design agent architectures and build LLM orchestration, prompt management, workflow execution, evaluation, and benchmarking systems.
- Build infrastructure, APIs, and platform abstractions for self-hosted and multi-tenant enterprise deployments.
- Integrate agents into financial workflows and improve their reliability, observability, and failure handling.
What they ask for
- Hands-on experience with LLMs, agent frameworks, or applied ML systems, including agent systems, tool use, or LLM orchestration frameworks.
- Strong Python skills and experience with modern ML tooling.
- Experience building evaluation or benchmarking systems for ML or LLMs.
- Experience designing production systems beyond notebooks, such as APIs, services, or pipelines, with attention to latency, reliability, and failure modes.
Nice to have
- Experience with self-hosted models or enterprise AI deployments.
- Background in distributed systems or data infrastructure; exposure to financial systems or high-stakes domains.
Pay
$150,000-$250,000 (base & bonus; USD; base salary and bonus)
Tools
Python
AI focus
Build and operate LLM-powered agent systems, including tool use, planning, memory, orchestration, evaluation, and benchmarking, for financial workflows.
Model-written summary · the original posting is authoritative