Staff Software Engineer – Customer Facing Applied AI

Overview

As an Applied AI Engineer at Addepar, you will build AI-powered agents and tools from idea to production, closely collaborating with clients and engineers. You’ll prototype, evaluate, and ship capabilities that fit real client workflows, shaping product features for a broad base of customers. The role emphasizes building robust AI systems, tool integrations, and production readiness with a strong feedback loop from end users. You will join a new team where your work directly influences what we ship and how clients experience our solutions. This is a hands-on, client-facing opportunity with growth across AI infrastructure and deployment.

Responsibilities

• Build AI-powered agents and tools end-to-end: identify client problems, prototype quickly, evaluate rigorously, and ship to production
• Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows
• Define evaluation criteria and build test harnesses for AI systems with ambiguous, domain-specific correctness
• Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality
• Partner with core engineering teams to generalize client-specific work into product features
• Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines)
• Monitor and maintain production AI systems focusing on reliability, cost, and performance

Key requirements

• Extensive professional software engineering experience
• Professional experience with Python
• Experience with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs
• Comfort with SQL for data exploration and data-grounded AI workflows
• Experience with AI-assisted development tools (Claude Code, Codex, or similar)
• BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience

• bias for action
• customer-focused mindset
• strong collaboration with cross-functional teams
• Python
• LLM APIs (Claude, GPT) including function calling and structured outputs
• SQL

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