At a Glance
- Tasks: Lead the development of AI-native products and transform wealth technology with innovative solutions.
- Company: Join Addepar, a global leader in data and AI for investment professionals.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Make a real impact in the AI space while working on cutting-edge technology.
- Qualifications: Experience in software engineering and a passion for AI/ML technologies.
The predicted salary is between 70000 - 90000 € per year.
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.
The Role
We are currently seeking a Staff Software Engineer with an AI/ML background to join our Reference Data team. The reference data team at Addepar is responsible for managing the data reconciliation and curation process for market data providers, building a single source of truth and providing alignment across public and alternative investment data products so clients can manage their investment portfolio.
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 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, and 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.
- Collaborate closely with our engineering leads to define and implement our platform architecture to meet Addepar’s growth and scalability needs.
- Evaluate and drive strategic business and technology decisions for the company and for customers.
- Be a technical thought leader in multiple areas who educates and shares best practices.
Who You Are
- B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience).
- Extensive software engineering experience.
- 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.
- 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.
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.
Staff Software Engineer - Reference Data - AI/ML (UK) employer: Addepar
Addepar is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Staff Software Engineer focused on AI/ML. With a commitment to employee growth, Addepar offers opportunities to work on cutting-edge technology in a dynamic environment, while also prioritising diversity and inclusion. Located in the vibrant city of London, employees benefit from a supportive community that encourages continuous learning and the chance to make a significant impact in the financial technology landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer - Reference Data - AI/ML (UK)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI/ML projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Staff Software Engineer - Reference Data - AI/ML (UK)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Staff Software Engineer role. Highlight your AI/ML projects and any relevant technologies you've worked with, as this will show us you're a great fit for our team.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you the perfect candidate. Share specific examples of your work that demonstrate your ownership mindset and ability to drive innovation.
Showcase Your Projects:If you've got personal projects or contributions to open-source that relate to AI/ML, don’t hold back! We love seeing practical applications of your skills, so include links or descriptions that showcase your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Addepar
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and ML technologies, especially those mentioned in the job description like LLMs and agentic frameworks. Be ready to discuss your experience with these technologies and how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex engineering challenges. Think about times when you had to iterate quickly based on feedback or adapt to new technologies. This will demonstrate your ability to drive innovation and deliver results.
✨Understand the Business Context
Familiarise yourself with Addepar's mission and how their platform empowers investment professionals. Be prepared to discuss how your technical skills can translate into business value, particularly in the finance sector. This shows that you can think beyond just coding.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about the team dynamics, the challenges they face in AI product development, or how they measure success. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
