At a Glance
- Tasks: Lead the development of innovative AI solutions and drive product delivery from prototype to production.
- Company: Join a cutting-edge tech company transforming wealth technology with AI.
- Benefits: Enjoy equity ownership, flexible time off, and a competitive benefits package.
- Other info: Dynamic team environment with strong focus on learning and development.
- Why this job: Make a real impact in AI while collaborating with top talent globally.
- Qualifications: Experience in AI/ML technologies and backend software engineering is preferred.
The predicted salary is between 72000 - 88000 £ per year.
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.
- 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.
Benefits:
- Equity: Stretch the idea of ownership beyond your day-to-day and take pride in being an owner in the growth of Addepar.
- Global Hybrid Workforce: Whether you work remotely or on-site, you’ll have the opportunity to build and collaborate with colleagues around the world.
- Flexible Time Off: Spend time travelling, celebrating with friends and family or relax on your schedule.
- Benefits Packages: Competitive medical, dental and vision benefits along with a monthly wellness allowance to keep you healthy and happy.
- Learning & Development Allowance: Your continued growth and development are important to us.
- Dynamic Team: Strong investment in the best talent at the intersection of technology and finance.
Preferred Qualifications:
- Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow.
- Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI.
- Extensive professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes.
- Advanced understanding of the probabilistic systems underpinning modern LLMs.
- Proven track record of owning and shipping complex, production-grade systems.
- A strong bias for action, with a passion for shipping rapidly and iterating with feedback.
- Specific experience with LLMs and agentic systems.
- Experience building AI products in highly accuracy-sensitive domains such as finance is a plus.
- Deep ownership mindset, seeing projects through to completion and raising the bar for execution across the team.
- BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience.
Senior Software Engineer (AI/ML, AI Platform) in London employer: Addepar
Addepar is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. With a commitment to employee growth, the company offers extensive training and development opportunities, ensuring that team members are equipped to excel in their roles as Technical Success Managers. Located in the vibrant city of London, employees benefit from a diverse and inclusive environment that champions creativity and client success, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Addepar 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 Addepar.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Addepar.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Addepar that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior 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 Addepar.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Addepar 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 Addepar
✨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 Addepar 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.
