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Addepar

Sr. Software Engineer - AI/ML - AI Platform

  • Remote
  • 6+ years

Salary

Not stated

Similar roles pay £30K - 155K a year · our estimate

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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.

Responsibilities

  • 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.
  • Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.
  • 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

Requirements

  • Extensive 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
  • [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
  • 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.
  • 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 .

Where you’d work

Fully remote

No visa sponsorship

About the company

Addepar

  • Industry: FinTech

Office in London, United Kingdom

Also hiring in Salt Lake City, United States, Poland, New York, United States and 1 more place

39 of their 39 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

Still hiring?

13 checks

No red flags

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6 checks

2 red flags

Fits Me

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  • Must-haves
Details12 facts · Role, Location, Compensation, Company
Tech stack
  • Python
  • AWS
  • Kubernetes
  • Databricks
  • LLMs
  • LangChain
  • Vector databases
Seniority
Senior
Industry
FinTech
Specialty
ML
Region
United Kingdom
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Senior
Experience
6+ years
Tech stack
  • Python
  • AWS
  • Kubernetes
  • Databricks
  • LLMs
  • LangChain
  • Vector databases

Location

Work model
Remote
Region
United Kingdom
Office
  • London, United Kingdom
Visa sponsorship
Not sponsored

Compensation

Salary
Salary by agreement
Pay period
Annual

Company

Industry
FinTech

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