At a Glance
- Tasks: Lead the development of innovative AI solutions and drive product delivery.
- 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 landscape and shape the future of wealth technology.
- Qualifications: Experience in backend software engineering and passion for AI technologies.
The predicted salary is between 63000 - 77000 £ 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. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity.
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.
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.
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
- 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.
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.
Sr. Software Engineer - AI/ML - AI Platform in London employer: Addepar1
Addepar is an exceptional employer, offering a dynamic work environment in Edinburgh where innovation and collaboration thrive. Employees benefit from a culture that champions learning and inclusivity, alongside opportunities for professional growth through mentorship and technical leadership. With a commitment to driving impactful solutions in the financial sector, Addepar empowers its team members to make significant contributions while enjoying the advantages of working within a global data and AI platform.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Software Engineer - AI/ML - AI Platform in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Addepar1 or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Addepar1.
✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Sr. Software Engineer - AI/ML - AI Platform in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Addepar1.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Addepar1 and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Addepar1
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Addepar1 uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
