Software Engineer - Customer Facing Applied AI
Addepar
As an Applied AI Engineer at Addepar, you will build agentic AI-powered solutions for strategic clients, from problem framing to production. You’ll prototype rapidly, evaluate rigorously, and partner with engineering to ship features as products. You will design AI agents, integrate tools, and optimize for real-world performance while staying close to client workflows. The role blends client-facing work with scalable infrastructure, offering a hands-on path to shape new capabilities at scale. A strong focus on impact, speed, and quality defines the opportunity.
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 their 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
- Prior 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
- ability to ship prototypes to production
- Python
- LLM APIs (Claude, GPT, or similar) with function calling and structured outputs
- SQL
Reference: WJ-747_31059229