A
Addepar
Senior Software Engineer
Skills
PythonGolangDatabricksAIAWSKubernetes
2 months ago
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Important information
Location:
London, UK
Work mode:
Onsite
Published on:
9 September 2026
What they need
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
What the job involves
- 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
- 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 traveling, 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
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