5 months ago
Base Salary
$179k - $224k/yr
Responsibilities
- Drive end-to-end execution and delivery of AI-native products from prototype to scalable production services.
- Architect, build, and productionize core AI platform components involving LLMs, vector databases, prompt tuning, and agentic frameworks.
- Develop core agent capabilities including MCP, cross-platform tool use, web browsing, and computer use.
- Enforce technical discipline and operational excellence across AI products.
- Iterate on AI products using performance metrics and user feedback.
- Evaluate and adopt new AI technologies and frameworks.
- Partner with product managers and engineering teams to translate strategic goals into production-ready technical solutions.
Requirements
- 3–6+ years of professional backend software engineering experience.
- Expertise with Python, Golang, gRPC, AWS, and Kubernetes.
- Proven experience owning and shipping complex, production-grade systems.
- Experience shipping and maintaining AI-native products or features, or significant personal AI projects.
- Bachelor’s or master’s degree in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience.
- Preferred experience with LLMs, agentic systems, Databricks, LangChain, or MLflow.
- Preferred advanced understanding of the probabilistic systems underlying modern LLMs.
- Experience building AI products in highly accuracy-sensitive domains such as finance is a plus.
- Must be legally authorized to work in the United States without current or future visa sponsorship and authorized to begin work in the U.S. on the first day.
Tech Stack
Categories
About Addepar
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on $9 trillion in assets. Its open platform integrates with 700 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, São Paulo and Singapore.