AI Engineer (AI Platform)

• 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

Benefits

• Equity: Stretch the idea of ownership beyond your day-to-day and take pride in being an owner in the growth of Addepar
• Global Hybrid Workforce: Whether you work remotely or on-site, you’ll have the opportunity to build and collaborate with colleagues around the world
• Flexible Time Off: Spend time traveling, celebrating with friends and family or relax on your schedule
• Benefits Packages: Competitive medical, dental and vision benefits along with a monthly wellness allowance to keep you healthy and happy
• Learning & Development Allowance: Your continued growth and development are important to us
• Dynamic Team: Strong investment in the best talent at the intersection of technology and finance

• 1–3+ years of professional experience in backend software engineering, with expertise in programming languages and technologies such as Python, Go, gRPC, AWS, and Kubernetes
• Specific experience with LLMs and agentic systems
• Passion for proactivity, deep ownership, and a desire to learn and build on the frontier of AI
• A strong systems-level foundation in building and scaling backend services, including an understanding of microservices, APIs, and concurrency
• Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow
• A strong bias for action, with a passion for shipping rapidly and iterating with feedback
• An advanced understanding of the probabilistic systems underpinning modern LLMs
• A BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience
• Experience building AI products in highly accuracy-sensitive domains such as finance
• Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI