Generative AI Lead Engineer

Faktion | AI Solutions & Advisory; Antwerpen; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Company car

Fuel card

Hospitalisation

Group insurance

Laptop

Smartphone

Hybrid policy

Résumé du poste

Faktion | AI Solutions & Advisory seeks a GenAI Lead Engineer to drive NLP and generative AI initiatives across industries. You will lead design, implementation, and MLOps, mentoring engineers and shaping AI project success.

You will collaborate with Head of AI, engineers, and product managers to translate business goals into robust AI solutions and stay at the cutting edge of NLP research.

Qualifications

• 5+ years of NLP and generative AI experience.
• Deep expertise in transformer architectures, language models, and embeddings.
• Experience leading technical AI/ML projects with team mentoring.
• Strong Python and ML libraries (PyTorch, TensorFlow, Hugging Face).
• Excellent communication in English; Dutch is a plus.

Responsabilités

• Leading the design, implementation, and enhancement of NLP and generative/agentic AI models using SOTA frameworks.
• Defining proprietary integrations with third-party AI solutions for tailored capabilities.
• Collaborating with cross-functional teams to define AI project requirements and objectives.
• Conducting proactive research to stay at the forefront of NLP and generative AI.
• Optimising and scaling NLP and generative AI systems for performance and reliability.
• Overseeing MLOps pipelines from data prep to deployment and monitoring.
• Building and maintaining containerised AI back-end services with Docker and FastAPI.
• Creating documentation and communicating complex AI solutions to stakeholders.
• Establishing and evolving best practices within the NLP/AI team.
• Providing technical mentorship and leadership to engineers.

Connaissances

GenAI

NLP

Transformer models

Python

PyTorch

TensorFlow

Hugging Face

Leadership

Mentoring

Azure

Docker

FastAPI

Prompt engineering

English & Dutch

Formation

Master's or PhD in CS/AI/NLP

Outils

Docker

FastAPI

PyTorch

TensorFlow

HuggingFace transformers

Description du poste

As a GenAI Lead Engineer, you will lead our engineering initiatives to drive transformative advancements across multiple industries, including Multi-Agent AI / Generative AI Applications, Retrieval-Augmented Generation (RAG) technologies, voice AI assistants, and advanced language processing applications. You'll be responsible for leading technical initiatives, mentoring team members, and driving innovation in applications that require sophisticated language understanding and realistic outputs. You will oversee our proprietary 'Evaluation-Driven Development' processes across all AI Projects.

Some key responsibilities:

• Leading the design, implementation, and enhancement of NLP and generative/agentic AI models, using various SOTA frameworks and tools
• Defining and developing proprietary integrations with existing third-party solutions to provide best-in-class generative AI capabilities tailored specifically to our customers' needs.
• Collaborating strategically with cross-functional teams, including the Head of AI, AI Engineers, Full-Stack Developers, and Product Managers, to define clear AI project requirements and objectives, and ensure alignment with business goals.
• Conducting proactive research to stay at the forefront of NLP and generative/agentic AI advancements, continuously identifying opportunities to integrate cutting-edge techniques into Faktion’s offerings.
• Optimising and scaling NLP and generative AI systems to achieve superior performance, efficiency, and operational reliability.
• Overseeing the development and maintenance of robust MLOps pipelines, encompassing data preprocessing, model training, fine-tuning, evaluation, deployment, and monitoring.
• Building and managing containerised AI back-end services using technologies such as Docker and FastAPI.
• Creating and maintaining high-quality documentation, including technical specifications, user manuals, and presentations to effectively communicate complex AI solutions to technical and business stakeholders.
• Establishing, enforcing, and continuously evolving best practices, standards, and procedures within the NLP and generative AI engineering team.
• Providing technical mentorship, guidance, and leadership to engineers and junior team members, fostering professional growth and technical excellence.
• Excellent written and verbal communication skills in native Dutch and English (French is a plus).
• Advanced degree (Master's or PhD) in Computer Science, Natural Language Processing, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of experience with implementing NLP and generative AI models, with deep expertise in transformer architectures, language models, and embeddings.
• Demonstrated leadership experience in technical AI/ML projects, including team mentoring and project management.
• Expert-level proficiency in Python and extensive experience with machine learning libraries (PyTorch, TensorFlow, Hugging Face transformers). Experience in Typescript is a plus
• Strong understanding of natural language processing techniques, including text classification, named entity recognition, sentiment analysis, and language generation.
• Proven experience with large language model fine-tuning, prompt engineering, and evaluation methodologies.
• Solid knowledge of data structures, algorithms, and software engineering principles.
• Experience with cloud-based platforms and services such as Azure, with a focus on scalable AI solutions.
• Familiarity with software development methodologies such as Agile or Scrum.
• Exceptional problem-solving skills with the ability to think critically and creatively to develop innovative AI solutions.
• Strong communication and presentation skills with the ability to effectively convey complex technical concepts to diverse audiences.

The following experiences are a plus:

• Open-source contributions to Generative AI or NLP projects
• Active GitHub repositories demonstrating advanced NLP implementations or prior engagements in relevant Kaggle competitions
• Proven track record of designing and deploying scalable language models in production environments
• Publications in relevant NLP/AI/ML conferences and journals (ACL, EMNLP, NeurIPS, ICML, etc.)
• Experience in one of our focus domains: Data Quality, Retail, Manufacturing, Finance
• Knowledge of multilingual NLP and cross-lingual transfer learning

We offer:

• A rewarding salary package that includes additional perks like a company car and fuel card or a mobility budget, comprehensive hospitalisation, group insurance, and a top-tier laptop and smartphone
• A company culture that stimulates both individual and team development, fostering professional growth and leadership opportunities
• Regular team-building activities and gatherings, which provide great opportunities to unwind and engage with our vibrant team initiatives
• A flexible hybrid working policy to choose where, how, and when you want to work
• Opportunities to represent Faktion at industry conferences and events: you'll be the face of Faktion's GenAI Engineering initiatives