Staff Software Engineer - Customer Facing Applied AI
Addepar1 · Remote, USA
About this role
**Staff Software Engineer — Customer Facing Applied AI** **Who We Are** Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. It unifies portfolio, market, and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets, with an open platform integrating with 650 partners. **The Role** The Applied AI team is embedded with strategic clients to identify where AI can change how they work—then build those capabilities from scratch. You’ll understand the client’s world, identify what’s worth building, prototype it, prove it works, and partner with core engineering teams to ship it as product for all customers. As a **Staff Applied AI Engineer**, you’ll set the technical direction for the team’s AI work—how we build agents, how we evaluate them, and how we take a capability from client-specific prototype to general product. You’ll lead the hardest client engagements, define new problem domains, and make high-stakes production readiness decisions. You’ll also build patterns and tools that help other engineering teams adopt AI effectively. **What You’ll Do** - Set the technical direction for AI engineering across the team (agent architecture patterns, evaluation methodology, deployment & monitoring strategies) - Design the AI platform layer (shared agent frameworks, tool integrations, evaluation infrastructure) - Work directly with clients on complex engagements (new problem domains, workflows never automated before, production quality) - Make high-judgment calls on AI readiness (what’s production-worthy; balancing speed with reliability) - Drive handoff from prototype to product with core engineering teams to generalize client capabilities - Lead production quality for AI systems (observability, SLOs, operational practices for reliability) - Mentor and grow AI and full stack engineers; set technical and cultural bar for a new team - Shape product direction by translating client learnings into roadmap priorities **Who You Are** - 6+ years of professional software engineering experience - Professional experience with **Python** - Deep experience building and operating AI/LLM-powered systems in production (agent architectures, multi-model orchestration, evaluation at scale) - Track record designing technical systems other engineers build on (platforms & patterns) - Experience with AI-assisted development tools (e.g., Claude Code, Codex, or similar) - Proven ability to take products/capabilities from zero to one; strong problem identification + system building - Experience working directly with customers or external stakeholders to scope and deliver technical work - Strong judgment in ambiguous, high-stakes environments - Ability to lead technical direction without formal authority; influence through quality of thinking and work - Excellent communication skills with clients, engineers, and executive leadership - BS/MS in CS, Math, or another quantitative field (or equivalent experience) **Nice to Have** - Experience designing multi-service AI platform architectures (model serving, agent orchestration, evaluation infrastructure) - Additional backend languages (Java valuable) - Financial services domain knowledge (portfolios, trading, document management, regulatory workflows) - Production observabilit
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