Client-Facing Applied AI Engineer Build AI Agents

addepar1; City of Edinburgh; Presencial; GBP 90.000 - 120.000; Jornada completa

Descripción de la vacante

Addepar is seeking an Applied AI Engineer to turn client problems into production-ready AI capabilities. You will understand client domains, prototype rapidly, and collaborate with core engineering to ship features that scale across customers.

Responsibilities include designing LLM integrations, prompt engineering, and retrieval-augmented workflows, while maintaining rigorous evaluation and production readiness in client projects.

Formación

• Proven professional software engineering experience.
• Strong Python experience.
• Experience with LLM APIs and structured outputs.
• Comfort with SQL for data exploration.
• BS/MS in Computer Science, Mathematics, or equivalent.

Responsabilidades

• Build AI-powered agents and tools end-to-end: identify client problems, 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

Conocimientos

Professional software engineering

Python

LLM APIs

SQL

AI tooling

Prototype to production

Client interaction

Educación

BS/MS in Computer Science, Mathematics

Descripción del empleo

Addepar is seeking an Applied AI Engineer to turn client problems into production-ready AI capabilities. You will understand client domains, prototype rapidly, and collaborate with core engineering to ship features that scale across customers.

Responsibilities include designing LLM integrations, prompt engineering, and retrieval-augmented workflows, while maintaining rigorous evaluation and production readiness in client projects.