AI/ML Engineer

Join our AI Teams and help us build production-grade AI solutions that directly support and scale our global sales organization within the airline industry!

You will play a critical role in increasing sales efficiency, response quality, and speed-to-market by embedding AI into sales and pre-sales processes. Your work will focus on automating and augmenting sales-related workflows such as RFP/RFI processing, proposal generation, customer-specific solution descriptions, pricing inputs, and knowledge retrieval.

This role combines hands-on technical leadership with the opportunity to shape and grow a distributed AI engineering team. You will act as a technical lead for sales-focused AI initiatives and, over time, take responsibility for guiding and mentoring a team of AI engineers.

Your responsibilities will include

• Architect and implement scalable AI/ML solutions on Azure (preferred) or GCP, leveraging services such as Azure Databricks, Azure ML Studio, Data Lake Storage, Event Hubs and Functions (or GCP equivalents).
• Design and build AI solutions for sales use cases such as:
• Automated RFP/RFI ingestion, classification, and response generation.
• Intelligent document understanding (PDFs, Word, Excel, presentations).
• Knowledge retrieval across product documentation, contracts, and past proposals.
• Sales assistant capabilities powered by LLMs.
• Develop and deploy LLM-based systems using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
• Integrate ML and GenAI solutions with enterprise platforms such as CRM systems, document repositories, collaboration tools, and workflow engines.
• Drive the evolution of successful PoCs into robust MVPs ready for adoption by sales and pre-sales teams.
• Implement MLOps practices including CI/CD for ML, infrastructure-as-code, model versioning, and automated retraining and deployment pipelines.
• Provide technical guidance, code reviews, and architectural support to AI engineers, with a growing responsibility for mentoring and leading a distributed team.
• Stay ahead of emerging AI trends, tools, and frameworks to continuously push innovation boundaries.

Must-Have Qualifications

• Bachelor’s, Master’s or PhD in Computer Science, Engineering, Mathematics or related quantitative field.
• 3+ years of experience in ML engineering or AI solution development, ideally with production deployments supporting enterprise or business-facing use cases.
• Familiarity with Azure data & AI services (e.g.: Azure Databricks, Azure ML Studio, Data Factory, Data Lake, Event Hubs, Functions) or GCP equivalents.
• Strong experience with GenAI systems, including LLMs, prompt engineering, fine-tuning, MCP and retrieval-augmented generation (RAG).
• Familiarity with agentic or multi-agent system concepts and architectures.
• Strong programming skills in Python.
• Self-starter mindset with a passion for innovation and experimentation.
• Excellent communication skills in English; ability to present complex architectures to stakeholders.

Preferred Skills

• Hands-on experience with document AI, NLP, semantic search, or knowledge graph solutions.
• Experience with CI/CD pipelines for ML (Azure DevOps, GitHub Actions) and infrastructure-as-code (Terraform or ARM templates).
• Exposure to MLOps practices and tools (e.g. CI/CD, model versioning, MLflow, Kubeflow).
• Hands-on Spark/Databricks expertise.
• Experience building PoCs and MVPs in AI/ML contexts.
• Familiarity with data engineering fundamentals for preparing and curating datasets for experimentation and model training.
• Demonstrated experience acting as a technical lead, owning architecture decisions and guiding other engineers.

What we are proud to provide you with

• Hybrid working with even only weekly 2 office days and flexible working hours based on core time.
• Financial benefits such as; an outstanding amount of cafeteria, referral reward and team or individual reward based on your accomplishments.
• Corporate health insurance package at one of the largest private healthcare providers with nationwide coverage.
• Carefully designed career paths, with the appropriate training courses and projects to accomplish your aims such as language courses, tech talks and trainings for your needs.
• Lufthansa Group flight ticket discounts.
• What’s more, if you are interested in our additional benefits: check out our benefits page.

Our community is characterized by mutual respect and a spirit of helpfulness. This high level of professionalism, combined with diverse personalities, will help you go through your daily life in a good mood while making the most of your skills and talents.

In addition to an inclusive and helpful atmosphere, trust is also an important value for us. You can rely on us with anything right from your first day, and we also trust you to the utmost extent.

A Lufthansa Systems Hungária Kft. a Lufthansa csoport IT-szolgáltatója, budapesti és szegedi irodájában légitársaságoknak és repülőtereknek fejleszt és üzemeltet szoftvermegoldásokat.