Senior Software Engineer (AI/ML, AI Platform)
- London, United Kingdom
- Senior Level
- Posted
Skills
Required
- AI
- LLMs
- backend software engineering
- Python
- Golang
- gRPC
- AWS
- Kubernetes
- agentic systems
- probabilistic systems
Join Addepar, a leading wealth technology platform, as a Senior AI Engineer. In this high-impact role, you will architect, build, and drive the execution of core AI capabilities that power our platform. You will be responsible for the end-to-end delivery of AI-native products, ensuring they are robust, scalable, and high-performance. You will also lead the evaluation and adoption of new AI technologies and frameworks, and partner with product managers and other engineering teams to translate strategic goals into technical realities.
Architecting, leading, and driving the execution of core AI capabilities that power the platform.
About Addepar
Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow
Responsibilities
- Driving the end-to-end execution and delivery of AI-native products, from initial prototype to scalable production services.
- Enforcing technical discipline and operational excellence for all AI products, and rapidly iterating on AI products based on performance metrics.
- 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
Requirements
- Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI
- BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience
- Proven track record of owning and shipping complex, production-grade systems
- Extensive professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes
- Specific experience with LLMs and agentic systems
- 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
