Staff Software Engineer - Customer Facing Applied AI
Role Overview
The Applied AI team works with strategic clients to identify valuable AI opportunities, prototype capabilities, validate them, and partner with core engineering to ship products.
The Staff Applied AI Engineer sets technical direction for agents, evaluation, and the path from client prototype to general product.
The role takes on the hardest client engagements, defines new problem domains, makes production-readiness decisions, and builds patterns for wider engineering adoption.
Key Skills for This Role
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About Addepar
Addepar is a global data and AI platform for investment professionals, combining portfolio, market, and client data with AI-powered insights.
More than 1,500 firms in 60 countries use the platform, which supports nearly $10 trillion in assets and integrates with 650 software, data, and consulting partners.
The role
The Applied AI team works with strategic clients to identify valuable AI opportunities, prototype capabilities, validate them, and partner with core engineering to ship products.
The Staff Applied AI Engineer sets technical direction for agents, evaluation, and the path from client prototype to general product.
The role takes on the hardest client engagements, defines new problem domains, makes production-readiness decisions, and builds patterns for wider engineering adoption.
What you’ll do
- Set team direction for agent architecture, evaluation methodology, deployment, and monitoring.
- Design shared agent frameworks, tool integrations, and evaluation infrastructure.
- Identify client problems and design production-quality AI capabilities for previously unautomated workflows.
- Judge production readiness, balancing speed and reliability in high-stakes contexts.
- Partner with core engineering to turn client-specific prototypes into products for all customers.
- Design observability, establish SLOs, and build operational practices for reliable AI systems.
- Mentor AI and full-stack engineers and shape product roadmaps using client engagement insights.
Who you are
- Six or more years of professional software engineering experience and professional Python experience.
- Deep experience building and operating production AI/LLM systems, including agent architectures, multi-model orchestration, and evaluation at scale.
- Track record designing platforms and patterns other engineers use, and taking products or capabilities from zero to one.
- Experience with AI-assisted development tools such as Claude Code, Codex, or similar.
- Experience scoping and delivering technical work with customers or external stakeholders.
- Sound judgment in ambiguous, high-stakes environments; ability to lead without formal authority and communicate with clients, engineers, and executives.
- BS/MS in computer science, mathematics, or another quantitative field, or equivalent experience.
Nice to have
- Experience designing multi-service AI platforms for model serving, agent orchestration, or evaluation infrastructure.
- Additional backend languages such as Java; financial services knowledge; production observability and SaaS operations at scale.
- Developer experience or internal platform background, building tools that change how engineering teams operate.
Compensation
- Salary range is $158,000–$248,000 per year.
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