About this role
Source: Paraform - https://www.paraform.com/share/-arca/cmrwefqnt00000al0hakfqkrg · Company: arcawealth.ai Location: On-site, 5 days a week in Flatiron, New York City · Full-time · Salary $200K - $300K plus competitive equity · Open to visa transfers (e.g. OPT, H1B transfers) The role As a Member of Technical Staff focused on Applied AI, you'll own Arca's AI stack end to end. One framing the team keeps coming back to: agents are the primary users of the system of record. Everything built (the data models, the APIs, the UI) has to work for a non-human user that operates at scale, across every client, all the time. What you'll build (and own) A general agent capable of complex, multi-step tasks (planning, sandboxed code execution, web search, retrieval) that powers a "do anything" experience for advisors. Ambient agents that act on behalf of clients and advisors: triaging email, processing meetings, drafting communications, surfacing what needs attention before anyone asks. The agent harness that orchestrates LLMs, context, tools, retrieval, and business logic into something coherent and reliable. Generative UI and human-in-the-loop interfaces where the agent and advisor genuinely collaborate, not just take turns. Evaluation infrastructure that holds two bars at once: high-correctness financial data and subjective, judgment-heavy tasks. Example problems Human / AI collaboration in practice: how the agent updates its model of what an advisor wants when they override a recommendation, and learns what to do autonomously versus flag. Memory systems that know a client the way a great advisor does, across years, surfacing the right context at the right moment. Generative UI as an agent architecture problem: managing state as the agent updates the advisor's screen in real time, without the experience feeling unpredictable. Evaluations for financial services: high-accuracy financial data where errors have real consequences, plus judgment-heavy tasks, under compliance and auditability requirements. Team A 12-person team, one office, five days a week, working on problems that don't have clean answers.