Software Engineer – Customer Facing Applied AI

Addepar

. Build AI-powered agents and tools end-to-end, from client problem identification and rapid prototyping through rigorous evaluation and production deployment .

Posted 10/15/2026full-timeRemote • United StatesJuniorMid-Level💰 $163,000 - $203,500 per yearWebsite

Tech Stack

Tools & technologies

AWSJavaPythonSQL

About the role

Key responsibilities & impact

Build AI-powered agents and tools end-to-end, from client problem identification and rapid prototyping through rigorous evaluation and production deployment
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 and 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, including agent frameworks, tool integrations, and deployment pipelines
Monitor and maintain production AI systems for reliability, cost, and performance

Requirements

What you’ll need

2+ years of professional software engineering experience
Professional experience with Python
Experience working 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)
Experience building something from zero to one
Ability to ship quickly, learn from feedback, and iterate
Ability to take projects from prototype to production and focus on client experience
BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience
Applicants must be legally authorized to work in the United States for any employer without current or future visa sponsorship
Must be authorized to begin work in the U.S. on the first day of employment
May require occasional work outside standard business hours to accommodate client time zones
Nice-to-have: experience building agentic systems
Nice-to-have: experience with additional backend languages, especially Java
Nice-to-have: familiarity with financial data
Nice-to-have: exposure to AWS and container-based deployments
Nice-to-have: experience with evaluation frameworks or methodologies for measuring AI system quality

Benefits

Comp & perks

Bonus
Equity
Benefits
Reasonable accommodation for individuals with disabilities
Equal opportunity and inclusive workplace
Up to 15% travel to client sites, including occasional overnight and multi-day engagements
Remote work arrangement