AI Engineer - AI Platform

Addepar, Inc.; New York (NY); On-site; USD 163,000 - 204,000; Full time

Benefits offered by this job

Health insurance

Competitive compensation

Job summary

Addepar, Inc. is seeking an AI Engineer to join our AI Platform team.

You will design, build, and productionize AI capabilities powering our platform, working directly with LLMs and agentic frameworks to translate cutting-edge concepts into robust, scalable products and capabilities. This hands-on role covers the full lifecycle from prototyping to scalable backend systems, delivering AI-native features to clients and collaborating with product managers and engineers.

Qualifications

• 1–3+ years of professional backend software engineering experience.
• Proficiency in Python, Golang, gRPC, AWS, and Kubernetes.
• Strong systems-level foundation for building and scaling backend services.
• Proven track record shipping AI-native products or demonstrable passion via personal AI projects.
• Bias for action and willingness to ship rapidly with feedback.
• BS/MS in CS, Statistics, Mathematics, or related quantitative field.
• (Preferred) Experience with LLMs and agentic systems.
• (Preferred) Hands-on experience with Databricks, Langchain, or MLFlow.
• (Preferred) Understanding of probabilistic models underpinning modern LLMs.
• (Preferred) Experience building AI products in finance domain is a plus.

Responsibilities

• Design and build end-to-end AI-native products, from prototype to scalable production services.
• Develop and productionize core components of our AI platform, including LLMs, vector DBs, prompt tuning, and agentic frameworks.
• Rapidly iterate on AI products based on performance metrics and user feedback.
• Drive evaluation and adoption of new AI technologies and frameworks.
• Collaborate with product managers and other engineering teams to translate strategic goals into technical realities.

Skills

Python

Golang

gRPC

AWS

Kubernetes

Education

BS/MS in Computer Science, Statistics, Mathematics, or equivalent

Tools

Databricks

Langchain

MLFlow

Job description

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 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.

The Role

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.

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

• 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.

Who You Are

• 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.
• (Preferred) Specific experience with LLMs and agentic systems.
• (Preferred) Hands‑on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow.
• (Preferred) Advanced understanding of the probabilistic systems underpinning modern LLMs.
• (Preferred) Experience building AI products in highly accuracy‑sensitive domains such as finance is a plus.

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 this role within the United States.

Compensation for this role includes base salary + bonus + equity + benefits.

Base Salary Range

$163,000 - $203,500 USD

Our Values

• Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
• Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
• Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
• Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
• Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

For government reporting purposes, we ask candidates to respond to the below self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Addepar’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran’s discharge or release from active duty in U.S. military, ground, naval or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.