Addepar - AI Engineer

• 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. • 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. • BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience. • (Preferred) Specific experience with LLMs and agentic systems. • (Preferred) • (Preferred) Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow. • (Preferred) • (Preferred) Advanced understanding of the probabilistic systems underpinning modern LLMs. • (Preferred) • (Preferred) Experience building AI products in highly accuracy-sensitive domains such as finance is a plus. • (Preferred) • Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within the United States. • Compensation for this role includes base salary + bonus + equity + benefits. • Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.