Addepar · Posted 2d ago
Senior Software Engineer (AI/ML, AI Platform)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇬🇧 London, United Kingdom
- Contract
- Full-time
- Role
- ML engineering
- Source
- Stapply Data
Stack
- Databricks
- MLflow
- LangChain
- LLM
- Python
- AWS
- Kubernetes
The posting
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. - 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 - 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 - Experience building AI products in highly accuracy-sensitive domains such as finance is a plus - Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow