Senior Software Engineer (Customer Facing Applied AI)

Join Addepar, a leading financial technology company, as a Senior Software Engineer in the Applied AI team. In this role, you will work closely with strategic clients to identify opportunities for AI integration, prototype solutions, and collaborate with core engineering teams to bring these innovations to market. You will have the opportunity to shape the future of AI in finance and make a significant impact on the industry.

• Identifying client needs and building AI-powered agents and tools from concept to production.
• Designing and implementing integrations with large language models (LLMs) and ensuring their effectiveness.
• Collaborating with core engineering teams to generalize client-specific work into product features.

• This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements
• Extensive professional software engineering experience
• You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified
• Experience with AI-assisted development tools (Claude Code, Codex, or similar)
• Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs
• Comfort with SQL for data exploration and building data-grounded AI workflows
• You see projects through from prototype to production and care about what the client experiences, not what the code does
• A bias for action. You ship quickly, learn from feedback, and iterate
• Professional experience with Python (the team's primary language)
• BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience
• Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows)
• Experience with additional backend languages (Java is valuable in our environment)
• Familiarity with financial data (portfolios, transactions, securities, accounting)
• Exposure to cloud infrastructure (AWS) and container-based deployments
• Experience with evaluation frameworks or methodologies for measuring AI system quality