Sr. Software Engineer - Customer Facing Applied AI

Edinburgh · Remote · Remote · Posted Oct 15, 2026

At a glance

The Applied AI team works embedded with strategic clients to identify opportunities for AI integration and build those capabilities from scratch.
This role involves building agentic systems from initial concept through to production, including prototyping, evaluation, and partnering with core engineering teams to ship features.
Engineers in this role sit close to users to gather feedback and iterate on AI-powered workflows.

Build AI-powered agents and tools end-to-end, from problem identification to production deployment.
Design and implement LLM integrations including prompt engineering, function calling, and structured outputs.
Develop retrieval-augmented workflows.
Define evaluation criteria and build test harnesses for AI systems.
Work directly with clients to understand 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 such as agent frameworks, tool integrations, and deployment pipelines.
Monitor and maintain production AI systems with attention to reliability, cost, and performance.

Extensive professional software engineering experience.
Professional experience with Python.
Experience working with LLM APIs (e.g., Claude, GPT) including function calling and structured outputs.
Comfort with SQL for data exploration and building data-grounded AI workflows.
Experience with AI-assisted development tools (e.g., Claude Code, Codex).
Proven experience building projects from zero to one.
BS/MS in Computer Science, 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.

Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows).
Experience with additional backend languages (Java is valuable).
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.

Role is based in Edinburgh, United Kingdom.
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.