Sr. Software Engineer - AI/ML - AI Platform

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo.

The Role 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.

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 roles in Colorado, California, and New York. The current range for this role is $179,000 - $224,000 (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.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You’ll Do

• 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.

Who You Are

• 3-6+ years of 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.

• Bonus Points (Preferred Qualifications):

• 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. …