AI Solutions Engineer – LLMs & RAG (Remote/Hybrid)

EVIDENT Europe GmbH; United States; Hybrid; USD 103,000 - 160,000; Full time

Benefits offered by this job

Remote work 50%

Multisport card

Pension contribution

Meal voucher

Extra vacation

Public transport allowance

Healthcare (ComfortCare)

Canteen

Sodexo Flexi

Language courses

Sick days

Anniversary awards

Job summary

Evident is seeking an AI Engineer to transform business needs into practical AI solutions. You will own AI projects from request to delivery, collaborating with stakeholders and external partners to upskill the organization in systematic AI adoption.

In this role, you will design and scale AI services using LLMs and RAG, ensuring rapid value delivery and seamless integration into finance, HR, sales, service, legal, and QA workflows.

Qualifications

• Strong hands-on experience developing and deploying AI solutions independently.
• Practical experience with Microsoft Azure and Anthropic Claude suite.
• Master’s degree or equivalent experience with 10+ years in industrial tech roles.

Responsibilities

• Identify and prioritize AI use cases with business teams.
• Design, build and scale AI services, including LLM/RAG solutions.
• Deliver working AI solutions and integrate into business processes.
• Guide external development partners and explain technical choices to stakeholders at all levels.
• Help teams adopt AI and share best practices across the organization.

Skills

AI solutions development

ML & LLMs

Data engineering

Clear communication

Stakeholder collaboration

Education

Master’s degree or equivalent

Tools

Azure

Anthropic Claude

Job description

Evident is seeking an AI Engineer to transform business needs into practical AI solutions. You will own AI projects from request to delivery, collaborating with stakeholders and external partners to upskill the organization in systematic AI adoption.

In this role, you will design and scale AI services using LLMs and RAG, ensuring rapid value delivery and seamless integration into finance, HR, sales, service, legal, and QA workflows.