> Markdown version of [/jobs/ext/1981830-sr-software-engineer-reference-data](https://www.wearedevelopers.com/jobs/ext/1981830-sr-software-engineer-reference-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr. Software Engineer - Reference Data

- **Company:** Addepar
- **Location:** Edinburgh, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Web Browsers, Software Product Management, Reference Data, Software Engineering, Large Language Models, Multi-Agent Systems, Information Technology, Machine Learning Operations, Databricks
- **Published:** August 8, 2026
- **Apply:** https://eu.experteer.com/career/view-jobs/sr-software-engineer-reference-data-eh1-edinburgh-grossbritannien-58837188

## About the Role

Collaborate to stay at the frontier * Collaborate with product managers and other engineering teams to translate strategic goals into technical solutions * Define and implement platform architecture with growth and scalability in mind * Provide technical leadership and prescriptive guidance on AI best practices Tasks * B.S. or M.S. in Computer Science or similar field (or equivalent practical experience) * Extensive software engineering experience * Proven track record shipping complex, production-grade systems * Experience shipping/maintaining AI-native products or demonstrable AI-related projects * Strong ownership mindset and bias for action * Experience with LLMs and agentic systems (preferred) * Hands-on experience with modern AI/LLM tools (Databricks, Langchain, MLFlow - preferred) * Understanding of probabilistic systems underpinning LLMs (preferred) * Experience building AI products in finance or highly accuracy-sensitive domains (a plus) Key requirements *

## Description

Experteer Overview As Sr. Software Engineer on Addepar's Reference Data team, you will architect and deliver AI-native capabilities that power our platform. You'll own end-to-end AI product delivery, from prototypes to scalable production services, focusing on reliability and performance. You'll work with product teams to translate goals into robust AI solutions, shaping the wealth-technology landscape. This role combines hands-on execution with thought leadership in AI across the platform. Pay / Benefits * Drive end-to-end AI product delivery from prototype to production services * Architect and productionize core AI platform components (LLMs, vector databases, prompt tuning) * Develop agentic capabilities including MCP and cross-platform tool use, web browsing, and computer interactions * Enforce technical discipline and operational excellence across AI products * Iterate AI products using performance metrics and user feedback for continuous improvement * Evaluate and adopt new AI technologies to stay at the frontier * Collaborate with product managers and other engineering teams to translate strategic goals into technical solutions * Define and implement platform architecture with growth and scalability in mind * Provide technical leadership and prescriptive guidance on AI best practices Tasks * B.S. or M.S. in Computer Science or similar field (or equivalent practical experience) * Extensive software engineering experience * Proven track record shipping complex, production-grade systems * Experience shipping/maintaining AI-native products or demonstrable AI-related projects * Strong ownership mindset and bias for action * Experience with LLMs and agentic systems (preferred) * Hands-on experience with modern AI/LLM tools (Databricks, Langchain, MLFlow - preferred) * Understanding of probabilistic systems underpinning LLMs (preferred) * Experience building AI products in finance or highly accuracy-sensitive domains (a plus) Key requirements *


## Related Videos

- [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)
- [How Web AI Can Power the Agentic Web - Jason Mayes (Google)](https://www.wearedevelopers.com/videos/1896-how-web-ai-can-power-the-agentic-web-jason-mayes-google)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [Best practices: Building Enterprise Applications that leverage GenAI](https://www.wearedevelopers.com/videos/1513-best-practices-building-enterprise-applications-that-leverage-genai)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)