Customer-Facing Applied AI Engineer (Remote/USA)

Addepar, Inc.; United States; Remote; USD 163,000 - 204,000; Full time

Job summary

Addepar, Inc. is seeking a Software Engineer - Customer Facing Applied AI to help build agentic AI capabilities for our clients. The role sits remote in the United States and collaborates closely with clients and core engineering to ship AI features.

You will prototype rapidly, design LLM integrations, and contribute to shared AI infrastructure while focusing on production-quality results and client outcomes.

Qualifications

• 2+ years of professional software engineering experience.
• Proficiency in Python and experience with LLM APIs including function calling.
• Strong SQL skills for data exploration and AI workflows.
• Experience with AI-assisted development tools (Claude Code, Codex).
• BS/MS in Computer Science, Mathematics, or related field, or equivalent experience.

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 where correctness is ambiguous and domain-specific.
• 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 with attention to reliability, cost, and performance.

Skills

Python

LLM APIs

SQL

AI tooling

Zero-to-one mindset

Production deployment

Java (nice to have)

Cloud experience (AWS)

Education

BS/MS in Computer Science or Math

Tools

Claude Code

Codex

AWS

Job description

Addepar, Inc. is seeking a Software Engineer - Customer Facing Applied AI to help build agentic AI capabilities for our clients. The role sits remote in the United States and collaborates closely with clients and core engineering to ship AI features.

You will prototype rapidly, design LLM integrations, and contribute to shared AI infrastructure while focusing on production-quality results and client outcomes.