Applied AI Scientist: LLM Workflows & Cloud Solutions

Kramp; Varsseveld; Ibrido; EUR 56.000 - 71.000; Tempo pieno

Vantaggi offerti da questo lavoro

Vacation days

ADV days

Flexible working policy

Travel allowance

Remote work allowance

Profit sharing bonus

Training budget

Pension plan

Descrizione del lavoro

Kramp is seeking an experienced applied AI specialist to lead product content automation. You will design, build and evaluate LLM-powered solutions that extract, enrich and classify product information, collaborating with the Product Content Automation team and internal engineers.

Based in Utrecht, you will translate business challenges into practical AI workflows, deploy secure solutions on Google Cloud and continuously improve models without training new ones.

Competenze

• Masters degree in Data Science, Econometrics, Computer Science or related fields.
• Strong Python skills.
• Experience building LLM applications with Gemini Agent Platform or comparable services.
• Strong communication and business-awareness skills.
• Experience with CI/CD, observability, guardrails and evaluation.

Mansioni

• Shape and validate AI use cases by exploring business problems and defining measurable success criteria.
• Build LLM-powered agents and workflows by designing prompts, tool use, outputs, context management and orchestration.
• Collaborate on deployment and integration with engineers on APIs, cloud architecture, security, CI/CD and observability.

Conoscenze

Masters degree in Data Science

Python

LLM applications

Communication

CI/CD

Formazione

Masters degree in Data Science, Econometrics, CS or related fields

Strumenti

Gemini Agent Platform

TypeScript

Java

Descrizione del lavoro

Kramp is seeking an experienced applied AI specialist to lead product content automation. You will design, build and evaluate LLM-powered solutions that extract, enrich and classify product information, collaborating with the Product Content Automation team and internal engineers.

Based in Utrecht, you will translate business challenges into practical AI workflows, deploy secure solutions on Google Cloud and continuously improve models without training new ones.