Addepar - Sr. Software Engineer - AI/ML - AI Platform (EDI)
Requirements
• Extensive professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes • Proven track record of owning and shipping complex, production-grade systems. • Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI • Deep ownership mindset, seeing projects through to completion and raising the bar for execution across the team • A strong bias for action, with a passion for shipping rapidly and iterating with feedback • BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience • 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 • Our Values • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. • Act Like an Owner - • Build Together - Collaborate to unlock the best solutions. Deliver lasting value. • Build Together - • Champion Our Clients - Exceed client expectations. Our clients’ success is our success. • Champion Our Clients - • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. • Drive Innovation - • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. • Embrace Learning -
Responsibilities
• Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity • Architect, build, and productionize core components of our AI platform – including: • LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.) • Agentic frameworks • Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use • Enforce technical discipline and operational excellence for all of our AI products • Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement • Lead the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry • Partner with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly
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