Staff Software Engineer – Customer Facing Applied AI

Addepar

. Set the technical direction for AI engineering across the team, including agent architecture patterns, evaluation methodology, deployment, and monitoring strategies .

Posted 9/29/2026full-timeRemote • United StatesLead💰 $158,000 - $248,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI engineering, including designing AI platform layers, agent architectures, and evaluation methodologies. Proven ability to lead technical direction, mentor engineers, and engage with clients to translate insights into actionable product roadmaps.

Highest-signal resume keywords

AI/LLM-Powered SystemsPython ProgrammingTechnical System DesignClient EngagementProduction Observability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI ArchitectureMulti-Model OrchestrationEvaluation MethodologyAgent FrameworksAI-Assisted Development ToolsBackend LanguagesSLO EstablishmentOperational PracticesZero to One Product Development

Soft Skills

Excellent CommunicationStrong JudgmentLeadership Without Authority

Tools & Technologies

Claude CodeCodexSaaS Operational Excellence

Certifications & Qualifications

BS/MS in Computer ScienceMathematics

Industry Keywords

Financial Services Domain Knowledge

Tech Stack

Tools & technologies

JavaPython

About the role

Key responsibilities & impact

Set the technical direction for AI engineering across the team, including agent architecture patterns, evaluation methodology, deployment, and monitoring strategies
Design the AI platform layer, including shared agent frameworks, tool integrations, and evaluation infrastructure
Work directly with clients on complex engagements to identify problem domains and design AI capabilities for previously unautomated workflows
Make high-judgment decisions on AI production readiness, balancing speed and reliability
Drive the handoff from prototype to product with core engineering teams
Lead production quality for AI systems by designing observability, establishing SLOs, and building operational practices
Mentor and grow AI and full stack engineers
Shape product direction by translating client engagement insights into roadmap priorities

Requirements

What you’ll need

6+ years of professional software engineering experience
Professional experience with Python
Deep experience building and operating AI/LLM-powered systems in production, including agent architectures, multi-model orchestration, and evaluation at scale
Track record of designing technical systems that other engineers build on
Experience with AI-assisted development tools such as Claude Code, Codex, or similar
Repeated experience taking products or capabilities from zero to one
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
Excellent communication skills
BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience
Nice to have: experience designing multi-service AI platform architectures
Nice to have: experience with additional backend languages, especially Java
Nice to have: financial services domain knowledge
Nice to have: production observability and SaaS operational excellence at scale
Nice to have: developer experience or internal platform work

Benefits

Comp & perks

Base salary plus bonus and equity
Benefits
Reasonable accommodation for individuals with disabilities
Equal opportunity and inclusive workplace