Staff AI Engineer - Client-Facing Applied AI & Tools

Blumberg Capital Company; City of Edinburgh; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Addepar is seeking an Applied AI Engineer to build agentic AI systems embedded with strategic clients. You will understand client problems, prototype rapidly, and ship capabilities in production while collaborating with engineering teams and leveraging LLM APIs.

Role involves designing agents, wiring tool integrations, and evaluating AI performance. Expect to work closely with clients and travel up to 15% for site engagements.

Qualifications

• Extensive professional software engineering experience.
• Professional experience with Python.
• Experience 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 equivalent experience.

Responsibilities

• Build AI-powered agents and tools end-to-end from problem to production.
• Design and implement LLM integrations, including prompt engineering, function calling, and structured outputs.
• 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 work into product features.
• Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines).
• Monitor and maintain production AI systems with focus on reliability and cost.

Skills

Software engineering

Python

LLM APIs

SQL

AI development tools

Zero-to-one mindset

Bias for action

Prototype to production

CS/Math degree

Education

BS/MS in Computer Science or Mathematics

Tools

Claude Code

Codex

AWS

Container deployments

Job description

Addepar is seeking an Applied AI Engineer to build agentic AI systems embedded with strategic clients. You will understand client problems, prototype rapidly, and ship capabilities in production while collaborating with engineering teams and leveraging LLM APIs.

Role involves designing agents, wiring tool integrations, and evaluating AI performance. Expect to work closely with clients and travel up to 15% for site engagements.