Addepar is looking to solve the problem of transforming the wealth technology landscape with AI across their product suite
Requirements
- 1-3+ years of professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes.
- A strong, systems-level foundation in building and scaling backend services (e.g., understanding microservices, APIs, and concurrency).
- Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI.
- Specific experience with LLMs and agentic systems.
- Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow.
- Advanced understanding of the probabilistic systems underpinning modern LLMs.
- Experience building AI products in highly accuracy-sensitive domains such as finance is a plus.
Responsibilities
- Design and build end-to-end AI-native products, from initial prototype all the way to scalable production services.
- Develop and productionize core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.)
- Develop and productionize core components of our AI platform – including: Agentic frameworks
- Develop and productionize core components of our AI platform – including: Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use
- Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement.
- Drive the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry.
- Collaborate with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly.
Other
- Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship
- BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience.
- A strong bias for action, with a passion for shipping rapidly and iterating with feedback.
- Passion for proactivity, deep ownership, and a desire to learn and build on the frontier of AI.
- Addepar is an equal opportunity employer and seeks to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions.
