Software Engineer, Addepar

• 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

Desirable

• We are currently seeking an AI Engineer to join our AI Platform team
• The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly
• As an AI Engineer, you will be responsible for designing, building, and productionizing the core AI capabilities that power our platform
• This is a hands-on role where you will be on the frontier of applied AI with research and engineering, working directly with LLMs and agentic frameworks to translate cutting-edge concepts into robust, scalable products and capabilities
• You will own the full lifecycle of AI-native products, from prototyping and evaluation to building the scalable backend systems that deliver them to our clients
• 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.)
• Agentic frameworks
• 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