14 hours ago
London, United KingdomMid Level
Responsibilities
- Build AI-powered agents and tools from client problem discovery through prototyping, evaluation, and production release.
- 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.
- Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.
- Partner with core engineering teams to turn client-specific solutions into product features.
- Contribute to agent frameworks, tool integrations, and deployment pipelines.
- Monitor and maintain production AI systems for reliability, cost, and performance.
Requirements
- Prior professional software engineering experience.
- Professional Python experience.
- 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.
- Bachelor’s or master’s degree in Computer Science, Mathematics, or another quantitative field, or equivalent experience.
- Preferred: experience with agentic systems, 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, container-based deployments, and AI evaluation frameworks or methodologies.
Benefits
- The role may require occasional work outside standard business hours to accommodate client time zones.
- Up to 15% travel to client sites, including occasional overnight and multi-day engagements.
- Applicants must have and maintain the right to work in the United Kingdom from the first day of employment.
- Visa sponsorship is not available for this role.
- Addepar provides reasonable accommodation for individuals with disabilities and is an equal opportunity employer.
Categories
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.