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# Senior Software Engineer - AI/ML - AI Platform (EDI)

- **Company:** Addepar
- **Location:** Edinburgh, UK
- **Experience:** Expert
- **Salary:** £69,000.0 - £109,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Computer Literacy, Web Browsers, Python (Programming Language), Software Engineering, Large Language Models, Multi-Agent Systems, Backend, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Grpc, Databricks, Golang
- **Published:** September 27, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5899595498

## About the Role

* Extensive professional experience in backend software engineering, with expertise in technologies such as Python, Golang, gRPC, AWS, and Kubernetes
 * Proven track record of owning and shipping complex, production-grade systems
 * Experience shipping and maintaining AI-native products or features, or significant personal AI projects demonstrating equivalent experience
 * Strong ownership mindset, seeing projects through to completion and raising the bar for execution across the team
 * Bias for action and a passion for shipping rapidly and iterating based on feedback
 * BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience
 * Must have and maintain the right to work in the United Kingdom from the first day of employment; visa sponsorship is not available
 * Preferred: Specific experience with LLMs and agentic systems
 * Preferred: Hands-on experience with modern AI/LLM ecosystem technologies such as Databricks, LangChain, or MLflow
 * Preferred: Advanced understanding of the probabilistic systems underpinning modern LLMs
 * Preferred: Experience building AI products in accuracy-sensitive domains such as finance

## Description

* Drive end-to-end execution and delivery of AI-native products, from initial prototypes to scalable production services
 * Architect, build, and productionize core AI platform components, including LLMs and related tools, agentic frameworks, and agent capabilities such as cross-platform tool use, web browsing, and computer use
 * Enforce technical discipline and operational excellence across AI products
 * Iterate on AI products using performance metrics and user feedback to drive continuous improvement
 * Lead the evaluation and adoption of new AI technologies and frameworks
 * Partner with product managers and engineering teams to turn strategic goals into technical solutions and make AI complexity easier to work with

Technologies:

 * AI
 * AWS
 * Architect
 * Backend
 * Databricks
 * Golang
 * Support
 * Kubernetes
 * LLM
 * MLflow
 * Python
 * Web
 * gRPC
 * Cloud
 * MCP


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- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
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