7 days ago
Edinburgh, United KingdomStaff+
Responsibilities
- Build AI-powered agents and tools from client discovery and prototyping through evaluation and production deployment.
- Design and implement LLM integrations using prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
- Define evaluation criteria and build test harnesses for AI systems with ambiguous, domain-specific correctness requirements.
- Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.
- Partner with core engineering teams to turn client-specific work into scalable 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.
- Accommodate occasional work outside standard business hours for client time zones and travel up to 15% to client sites.
Requirements
- Extensive professional software engineering experience.
- Professional experience with Python.
- Experience with LLM APIs such as Claude or GPT, including function calling and structured outputs.
- Comfort using 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 with agentic systems, including multi-step tool use, agent orchestration, or durable workflows.
- Preferred: experience with additional backend languages, especially Java.
- Preferred: familiarity with financial data such as portfolios, transactions, securities, or accounting.
- Preferred: exposure to AWS and container-based deployments.
- Preferred: experience with evaluation frameworks or methodologies for measuring AI system quality.
Benefits
- London-based role with up to 15% travel to client sites, including occasional overnight and multi-day engagements.
- Occasional work outside standard business hours may be required to accommodate client time zones.
- Addepar is an equal opportunity employer and provides reasonable accommodations 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.