Client-Facing AI Engineer (Staff) – Applied AI

Addepar; City of Edinburgh; On-site; GBP 90,000 - 130,000; Full time

Job summary

Addepar, based in the United Kingdom, is seeking an Applied AI Engineer to embed AI capabilities within client workflows. You will understand client needs, prototype solutions, and ship production-ready features in collaboration with core engineering teams.

You will design agent behavior, integrate LLMs, evaluate systems, and ensure outputs are reliable and scalable while staying close to client experience.

Qualifications

• Proven professional software development experience.
• Strong Python experience and ML model integration.
• Experience with LLM APIs, function calling and structured outputs.
• Proficiency in SQL for data exploration and AI workflows.
• BS/MS in Computer Science, Mathematics, or equivalent.

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

Skills

Software engineering

Python

LLM APIs

SQL

AI tooling

Education

BS/MS in Computer Science or Mathematics or equivalent

Tools

Claude

Codex

AWS

Job description

Addepar, based in the United Kingdom, is seeking an Applied AI Engineer to embed AI capabilities within client workflows. You will understand client needs, prototype solutions, and ship production-ready features in collaboration with core engineering teams.

You will design agent behavior, integrate LLMs, evaluate systems, and ensure outputs are reliable and scalable while staying close to client experience.