Customer-Facing Agentic AI Engineer

Addepar, Inc.; City of Westminster; On-site; GBP 90,000 - 130,000; Full time

Job summary

Addepar, Inc. is seeking an Applied AI Engineer to design and ship agentic AI capabilities for strategic clients. You’ll understand client problems, prototype fast, and partner with engineering to deliver production-ready features.

You’ll integrate LLMs, build retrieval workflows, and set evaluation criteria to ensure reliable performance in real client environments. Some travel and flexible hours may apply.

Qualifications

• Prior professional software engineering experience.
• Proficient in Python and SQL.
• Experience with LLM APIs and function calling.
• Experience with agentic systems and multi-step tool use.
• BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience.

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-based workflows
• Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous
• 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 (agent frameworks, tool integrations, deployment pipelines)
• Monitor and maintain production AI systems with attention to reliability, cost, and performance

Skills

Python

LLM APIs

SQL

Agentic systems

Java

Cloud infrastructure (AWS)

Production-grade software

Evaluation frameworks

Education

BS/MS in Computer Science or Mathematics

Tools

Claude Code

Codex

Job description

Addepar, Inc. is seeking an Applied AI Engineer to design and ship agentic AI capabilities for strategic clients. You’ll understand client problems, prototype fast, and partner with engineering to deliver production-ready features.

You’ll integrate LLMs, build retrieval workflows, and set evaluation criteria to ensure reliable performance in real client environments. Some travel and flexible hours may apply.