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Addepar is a global data and AI platform serving over 1,500 investment firms managing nearly $10 trillion in assets. The Applied AI team works embedded with strategic clients to identify where AI can transform their workflows, then builds those capabilities from prototype to production.
In this role, you will build agentic AI systems end-to-end. You'll start by deeply understanding client problems and workflows, then rapidly prototype solutions, rigorously evaluate them, and ship to production. Your work involves designing and implementing LLM integrations (prompt engineering, function calling, structured outputs, RAG workflows), defining evaluation criteria for AI systems where correctness is domain-specific and ambiguous, and working directly with clients to validate behavior and iterate toward production quality. You'll partner with core engineering teams to generalize client-specific solutions into product features and contribute to shared AI infrastructure including agent frameworks, tool integrations, and deployment pipelines. You'll also monitor and maintain production AI systems with attention to reliability, cost, and performance.
The role requires occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites for multi-day engagements. Visa sponsorship is not available; you must have the right to work in the UK from day one.
Requirements:
- Extensive professional software engineering experience
- Professional experience with Python (primary team language)
- 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
- Experience with AI-assisted development tools (Claude Code, Codex, or similar)
- Demonstrated ability to build something from zero to one; drawn to figuring out what to build, not just executing specifications
- Bias for action: ship quickly, learn from feedback, iterate
- Track record seeing projects through from prototype to production with focus on client experience
- BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience
Nice to have:
- Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows)
- Additional backend languages (Java valued in their environment)
- Familiarity with financial data (portfolios, transactions, securities, accounting)
- Cloud infrastructure experience (AWS) and container-based deployments
- Experience with evaluation frameworks or methodologies for AI system quality
