7 days ago
London, United KingdomStaff+
Responsibilities
- Build AI-powered agents and tools end-to-end, from client problem discovery and prototyping through evaluation and production delivery.
- Design and implement LLM integrations using prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
- Define evaluation criteria and build test harnesses for domain-specific AI systems with ambiguous 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
- Extensive professional software engineering experience and professional experience with Python.
- Experience working with LLM APIs such as Claude or GPT, including function calling and structured outputs.
- Comfort with SQL for data exploration and data-grounded AI workflows.
- Experience with AI-assisted development tools such as Claude Code or Codex.
- Experience building something from zero to one and taking projects from prototype to production.
- BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience.
- Preferred: experience building agentic systems, including multi-step tool use, agent orchestration, or durable workflows.
- Preferred: experience with additional backend languages such as Java, familiarity with financial data, exposure to AWS and container-based deployments, or experience with AI evaluation frameworks.
Benefits
- Occasional work outside standard business hours may be required to accommodate client time zones.
- Up to 15% travel to client sites, including occasional overnight and multi-day engagements.
- Addepar is an equal opportunity employer and provides reasonable accommodation for individuals with disabilities.
About Addepar
Addepar builds a SaaS platform for wealth and investment management firms to aggregate portfolio, market and client data, analyze holdings, and produce client reporting. The company sells software and data integrations used across investment operations, with APIs and a broad partner ecosystem to plug into other tools. Founded in 2009 and headquartered in New York, it is privately held and used by over a thousand firms globally to manage trillions in assets.