Client-Facing Applied AI Engineer: Build AI Agents

Addepar1

City of Edinburgh

On-site

GBP 90,000 - 150,000

Full time

2 days ago
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Job summary

Addepar is seeking an Applied AI Engineer to work with client teams and engineers to turn complex problems into production-ready AI capabilities. You'll understand client needs, prototype solutions, and ship them as product features.

The role emphasizes building agentic systems, integrating tools, and collaborating across teams; travel up to 15% and occasional after-hours to support global clients. You will be close to users, shaping the product and your growth.

Qualifications

  • Extensive professional software engineering experience.
  • Proficiency with Python and LLM APIs (function calling and structured outputs).
  • Strong SQL for data exploration and AI workflows.
  • Experience building agentic systems and production-ready AI.
  • Willingness to travel up to 15% and engage with clients.

Responsibilities

  • Build AI-powered agents and tools end-to-end: identify client problems, prototype, evaluate, and ship to production.
  • Design and implement LLM integrations including prompt engineering and tool calls.
  • Define evaluation criteria and build test harnesses for AI systems.
  • Work directly with clients to understand workflows 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

Extensive software engineering
Python
LLM APIs
SQL
AI tooling

Education

BS/MS in Computer Science or equivalent

Tools

Claude API
GPT/LLM tooling
Codex

Job description

Addepar is seeking an Applied AI Engineer to work with client teams and engineers to turn complex problems into production-ready AI capabilities. You'll understand client needs, prototype solutions, and ship them as product features.

The role emphasizes building agentic systems, integrating tools, and collaborating across teams; travel up to 15% and occasional after-hours to support global clients. You will be close to users, shaping the product and your growth.

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