At a Glance
- Tasks: Lead the development of AI-native products and architect core AI capabilities.
- Company: Join a cutting-edge tech company transforming wealth technology with AI.
- Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact in AI while working on innovative projects that shape the future.
- Qualifications: Experience in software engineering and a passion for AI/ML technologies.
The predicted salary is between 70000 - 90000 £ per year.
Requirements
- 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
- 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
What the job involves
We are currently seeking a Staff Software Engineer with 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 to build a single source of truth and provide alignment across public and alternative investment data products for the client to manage their investment portfolio.
As an engineer on the team, you will partner with product teams at Addepar to understand their business needs. The 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.
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.
Key Responsibilities:
- 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. Your contributions deliver strategic and prescriptive guidance.
Staff Software Engineer (Reference Data, AI/ML) employer: Addepar
At Addepar, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our Staff Software Engineers are empowered to take ownership of their projects, driving the development of cutting-edge AI solutions in a dynamic environment that values rapid iteration and continuous improvement. With ample opportunities for professional growth and a commitment to maintaining a supportive work culture, Addepar is the ideal place for talented engineers looking to make a meaningful impact in the wealth technology landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer (Reference Data, AI/ML)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. We want to see what you can do, so make sure to highlight any complex systems you've built or contributed to.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. We love candidates who can articulate their thought process and demonstrate their deep ownership mindset.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who are eager to innovate in the AI space.
We think you need these skills to ace Staff Software Engineer (Reference Data, AI/ML)
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your extensive software engineering experience and any AI-native products you've worked on. We want to see your proven track record, so don’t hold back on those complex systems you’ve owned and shipped!
Tailor Your Application:Take a moment to tailor your application to the job description. Mention specific technologies like LLMs or Databricks that you’ve worked with. This shows us you’re not just sending out generic applications but are genuinely interested in this role.
Demonstrate Your Passion:If you’ve got personal projects in AI, make sure to mention them! We love seeing that deep ownership mindset and passion for shipping rapidly. It’s all about showing us how you’ve taken initiative in your field.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Addepar
✨Know Your Stuff
Make sure you brush up on your knowledge of AI/ML technologies, especially LLMs and agentic systems. Be ready to discuss your past projects and how they relate to the role. If you've worked with tools like Databricks or MLFlow, have specific examples ready to share.
✨Show Your Passion
Demonstrate your enthusiasm for AI and software engineering. Talk about personal projects or experiences that showcase your deep ownership mindset and bias for action. Companies love candidates who are genuinely excited about their work!
✨Prepare for Technical Questions
Expect to face technical questions that test your understanding of complex systems and your problem-solving skills. Practice coding challenges and be prepared to explain your thought process clearly. This is your chance to shine as a technical thought leader!
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s direction and technology stack. Inquire about their approach to building AI-native products and how they measure success. This shows you’re not just looking for any job, but you’re keen on contributing to their mission.
