Senior AI Engineer (AI Platform)

Addepar, Inc.; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity compensation

Global hybrid workforce

Flexible time off

Learning & development allowance

Bonuses and benefits

Job summary

Addepar, Inc. seeks a Senior AI Engineer to join its AI Platform team in New York. You will architect and ship AI-native products, leading end-to-end delivery of core capabilities powering our wealth-tech platform.

You will own LLMs, agentic frameworks, and production-ready AI components, advancing performance, scalability, and reliability while collaborating with product managers and cross-functional teams.

Qualifications

• 3-6+ years of professional backend software engineering experience.
• Proven experience shipping complex, production-grade AI-native systems.
• Hands-on with modern AI/LLM ecosystems and agentic frameworks.

Responsibilities

• Architect, lead, and drive the end-to-end delivery of AI-native products.
• Own core AI platform components including LLMs, agentic systems, and tooling.
• Collaborate with product and engineering teams to translate strategic goals into technical capabilities.
• Iterate rapidly based on performance metrics and user feedback.

Skills

Python

Golang

gRPC

AWS

Kubernetes

AI systems

Finance domain knowledge

Education

BS/MS in Computer Science or related field

Tools

Databricks

Langchain

MLFlow

Vector databases

Job description

• We are seeking a Senior 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 a Senior AI Engineer, you will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems
• 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

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

Experience building AI products in highly accuracy-sensitive domains such as finance is a plus3-6+ years of professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and KubernetesHands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlowApplicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship, and must be authorized to begin work in the U.S. on their first day of employmentProven track record of owning and shipping complex, production-grade systemsSpecific experience with LLMs and agentic systemsAdvanced understanding of the probabilistic systems underpinning modern LLMsA strong bias for action, with a passion for shipping rapidly and iterating with feedbackBS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experienceDeep ownership mindset, seeing projects through to completion and raising the bar for execution across the teamProven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI