AI Engineer, Consulting & Implementation

Neurawork

. Analyze processes, time losses, and data assets on-site with specialist departments and IT .

Posted 10/27/2026full-timeGermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing and implementing AI solutions, including LLMs and Agentic AI, with a strong technical background in coding and data integration. Capable of advising clients and delivering training sessions while effectively communicating complex technology concepts.

Highest-signal resume keywords

AI Solution ImplementationLLMs UnderstandingPython ProficiencyCustomer-Facing ExperienceData Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI System DevelopmentData AnalysisTechnical ImplementationCloud DeploymentOn-Premises DeploymentAPIsAutomation SolutionsRAG PipelineData ConnectivitySecurity

Soft Skills

Workshop FacilitationTechnical CommunicationCustomer Advisory

Tools & Technologies

AI SolutionsCloud InfrastructureData Assets

Industry Keywords

STEM DegreeDACH RegionExecutive ManagementTechnical RoadmapsFeasibility Assessment

Tech Stack

Tools & technologies

CloudPythonGo

About the role

Key responsibilities & impact

Analyze processes, time losses, and data assets on-site with specialist departments and IT
Assess AI use cases for feasibility, data availability, cost, and limitations, and prioritize them based on impact
Implement the architecture, integration, and commissioning of AI solutions such as LLMs, RAG, Agentic AI, and automation
Operate AI solutions in the cloud or on-premises
Clarify interfaces, data connectivity, security, and operations with the customer’s IT team
Advise customers, including executive management, with technically sound roadmaps
Feed insights back into frameworks and products
Deliver live sessions for AI training and AI business coaching
Support customer projects from the initial workshop through production go-live

Requirements

What you’ll need

Degree in a STEM field or an equivalently strong technical background
A self-developed, demonstrable AI system, such as a RAG pipeline, agent, or automation solution for which you were technically responsible
In-depth understanding of LLMs, retrieval, and Agentic AI, as well as cloud and on-premises deployment, including their limitations
Proficiency in coding, for example Python, APIs, and data integration
At least 3 years of professional experience in technical implementation
Customer-facing or consulting experience is a plus
Enthusiasm for workshops and for explaining technology in an accessible way
Native-level German and good English skills
Residence in Germany
Willingness to attend on-site customer meetings, typically 2–4 days per month in the DACH region

Benefits

Comp & perks

Permanent employment contract
6-month probationary period
40-hour workweek
28 days of annual leave
Fully remote work possible
Team days and on-site customer workshops
Direct access to executive management and short decision-making processes
Market-competitive salary with rapid growth opportunities
Professional exchange with Germany’s AI leaders
Modern tech stack and room for experimentation
Opportunity to build expert visibility through the AI Business Coaching community and the TÜV SÜD partnership