Software Engineer - Customer Facing Applied AI

About the role

The Applied AI team works embedded with strategic clients to identify opportunities for AI integration and build those capabilities from scratch. You will prototype, iterate, and partner with core engineering teams to ship agentic systems into production. This role requires working closely with clients to validate AI behavior and ensure the solutions meet their specific workflow needs.

Responsibilities

• Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, 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

Required skills

• Software engineering
• Python
• LLM APIs
• SQL
• AI-assisted development tools

Nice to have

• Agentic systems
• Java
• Financial data
• AWS
• Container-based deployments
• Evaluation frameworks

Qualifications

• BS/MS in Computer Science, Mathematics, or another quantitative field
• Equivalent practical experience

About the Company

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. The company unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows.