Junior AI Engineering Consultant

zeroG - AI in Aviation

. Design, develop, and deploy ML, GenAI, LLM, RAG, and AI agent solutions from prototypes to cloud-based production .

Posted 10/30/2026full-timeFrankfurt am Main • GermanyJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying Machine Learning and Generative AI solutions, with a strong foundation in Python and software engineering. Capable of transforming complex data into innovative products while ensuring quality, security, and compliance with regulations such as GDPR.

Highest-signal resume keywords

Python ProgrammingMachine Learning SolutionsGenerative AI SolutionsCloud Platforms (Azure, GCP, AWS)MLOps/LLMOps

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering FundamentalsData PipelinesSQLAI Security BasicsAI Compliance (GDPR, EU AI Act)

Soft Skills

Good Communication SkillsCollaborative AttitudeEagerness to Learn

Tools & Technologies

Azure OpenAIVertex AIObservability Tooling

Industry Keywords

Aviation IndustryAgentic ArchitecturesTechnical Consulting

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Design, develop, and deploy ML, GenAI, LLM, RAG, and AI agent solutions from prototypes to cloud-based production
Transform complex aviation data into innovative, data-driven products
Help ensure solution quality, reliability, security, and cost efficiency
Engage with stakeholders and customers to understand business challenges and translate them into technical solutions
Collaborate with data scientists, engineers, and business stakeholders on end-to-end solutions
Continuously learn and apply new technologies while growing into a trusted advisor role

Requirements

What you’ll need

Solid Python and software engineering fundamentals
First hands-on experience building ML and/or GenAI solutions, including LLMs, RAG, or AI agents, through studies, internships, or personal projects
Working knowledge of data, SQL, and data pipelines
Exposure to cloud platforms such as Azure, GCP, or AWS
Basic understanding of deploying and operating AI solutions in production, including MLOps/LLMOps, evaluation, and monitoring
Awareness of AI security and compliance basics, including GDPR and the EU AI Act
Good communication skills and ability to explain technical topics clearly
English as the working language
Eagerness to learn, collaborative attitude, and interest in technical consulting
Exposure to managed AI platforms such as Azure OpenAI or Vertex AI is an asset
Exposure to observability tooling is an asset
Interest in agentic architectures and integrating AI into enterprise systems is an asset
Interest or background in the aviation industry is an asset

Benefits

Comp & perks

Yearly training budget and abundant learning opportunities
Flexible work environment with option to work from the office and from home
Work-life balance
Comprehensive relocation package for moving to Germany
Discounted flight tickets from Lufthansa and partner airlines