SECTION I · THE BRIEF
Brief #10357Updated 05 OCT 2026NEW YORK, NYGreenhouseFINANCIAL TECHNOLOGY AND SERVICES
Employbl Company Profile

Sr. Software Engineer - AI/ML - AI Platform

Addepar is the first performance reporting platform that easily handles all of your assets, connecting your financial goals and objectives with real world actionable insights.

Location
New York, NY
Company size
500–2,000
Posted
Today
Comp band
$179K–$224K
Section II · Full ProfileFree with an account
  • 01Equity package & total comp detailLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Hiring manager & team contextLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

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Sr. Software Engineer - AI/ML - AI Platform

Addepar· New York, NYView company profile


Job title
Sr. Software Engineer - AI/ML - AI Platform
Job location
New York, NY
Job description

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 1,500 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 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.

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.
    • 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.

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.

Base Salary Range
$188,000—$235,000 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.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.

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Where this role is based

New York, NY

Map of this location

Addepar headquarters

Mountain View, CA

Company size

500–2,000 employees

Founded

2009

Total raised

$761,362,336

View company profile ↗

Funding rounds