Staff Software Engineer - Customer Facing Applied AI (London)
Edinburgh · Remote · Remote · Posted Oct 15, 2026
At a glance
- Workplace
- Remote
- Location
- Edinburgh · Remote
About the role
- The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch.
- As an Applied AI Engineer, you'll build agentic systems from idea through production, starting with understanding the problem and moving fast through prototyping and iteration.
Responsibilities
- Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production
- Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows
- Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific
- Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality
- Partner with core engineering teams to generalize client-specific work into product features
- Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines)
- Monitor and maintain production AI systems with attention to reliability, cost, and performance
Requirements
- Extensive professional software engineering experience
- Professional experience with Python
- Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs
- Comfort with SQL for data exploration and building data-grounded AI workflows
- Experience with AI-assisted development tools (Claude Code, Codex, or similar)
- BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience
Preferred qualifications
- Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows)
- Experience with additional backend languages (Java is valuable in our environment)
- Familiarity with financial data (portfolios, transactions, securities, accounting)
- Exposure to cloud infrastructure (AWS) and container-based deployments
- Experience with evaluation frameworks or methodologies for measuring AI system quality
Workplace
- This role may require occasional work outside standard business hours to accommodate client time zones
- Up to 15% travel to client sites, including occasional overnight and multi-day engagements
Skills
- Python
- SQL
- Claude
- GPT
- Claude Code
- Codex
- Java
- AWS
