Arta Finance - Machine Learning Engineer, AI Agent Platform
Requirements
• 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 • Strong systems thinking: latency, reliability, failure modes, tradeoffs • Location: Bay Area preferred (3 days/week in our Mountain View office). We're flexible for exceptional remote candidates on the West Coast. • Experience with self-hosted models or enterprise AI deployments • Background in distributed systems or data infrastructure • Exposure to financial systems or high-stakes domains • What Makes This Role Different • This is not a research or prototype-focused role. • You will be responsible for shipping systems that operate in live financial environments. Your work directly supports institutional clients and real end users at some of the largest and fastest-growing financial institutions, not internal demos. • If you’re motivated by making agent systems work reliably at scale, in complex and regulated settings, this role will be a strong fit. • Interview Process - One in person interview is required for ALL candidates • General Interview with Hiring Manager, 30m - Virtual • Coding/Algorithm/Data Structure Interview, 60m - In Person or Virtual • ML System Design Interview, 60m - In Person • AI Agent Coding Exercise, 120m - In Person or Virtual • Leadership Interview, 30m - In Person • Note: We require at least one in-person interview before making our offer decision. For remotely located candidates, we may request you to visit the Mountain View HQ to meet the team. • Interview Integrity Notice • To ensure a fair and accurate assessment, candidates are expected to complete all interview exercises independently, without the use of external assistance or AI tools. Arta may, with your consent, request that you share your full screen during technical portions of the interview to verify your work environment. Interviewers may also, with your consent, ask you to temporarily disable virtual backgrounds or filters to confirm your identity and maintain interview integrity. These steps are voluntary, used only for real-time verification, and do not involve recording, storing, or accessing any information beyond what you choose to display during the session.
Responsibilities
• You will design and build production-ready agent systems that sit at the core of how financial decisions are supported and delivered. • production-ready agent systems • Build the AI Agent Platform • Design and implement agent architectures (tool use, planning, memory, orchestration) • agent architectures • Build systems for LLM orchestration, prompt management, and workflow execution • LLM orchestration • Develop evaluation frameworks for agent quality, reliability, and safety • 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 • 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
Benefits
• A competitive salary and benefits package, with ample opportunities for growth and advancement • A vibrant and dynamic work environment where innovation, collaboration, and continuous learning are highly valued • The opportunity to work with a diverse and talented team of industry experts, passionate about shaping the future of finance • Robust health insurance offering for you and your family • High deductible health plan available with health savings account contribution • 20 weeks of parental leave • 17 days PTO annually • We determine your salary based on factors including your interview performance, job-related skills, experience, and relevant education or training. Our offers are based on salary bands that are updated periodically using market benchmarks and consider geographic location as well (for example, higher cost regions like San Francisco or New York). If you are presented with an offer, we will review the base salary, benefits, number of options, notional option value and strike price. We would like to know if you accept our offer within 7 days.Please keep in mind that the equity portion of your offer is not included in these numbers and represents a significant part of your total compensation.IC I: $110,000-$180,000IC II: $160,000-$230,000IC III: $180,000-$300,000
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT