AI Engineer (Python + GenAI)

Responsibilities:

• Developing innovative solutions, both internally and for our clients by leveraging cutting-edge machine learning and AI technologies
• Developing intelligent assistants using the latest large language models (e.g., GPT-4,Falcon 2, LLAMA 3, Mixtral), employing Retrieval Augmented Generation techniques, and utilizing agent frameworks (e.g., Langraph, CrewAI)
• Utilizing AI and software engineering expertise to recommend the most effective technical approaches and solution architectures for addressing business challenges
• Participation in software deployments and working closely with our industry experts and users in solving ongoing issues
• Collecting, preprocessing and analyzing large datasets for training AI models
• Contributing to project documentation

Requirements:

• 3+ years of relevant professional experience
• Professional experience in building applications using Large Language Models (LLMs) and related concepts & design patterns (e.g. RAG, vector DBs, embeddings, prompt engineering, multi-agent systems)
• Familiarity with LLM frameworks (e.g. Langchain, LLamaindex)
• Knowledge and experience in production grade code development in Python
• Understanding of cloud concepts and architectures, with hands-on experience in cloud services (Azure, GCP or AWS)
• Hands-on experience in containerization tools (e.g. Docker, Kubernetes)
• Expertise in data manipulation in Python (e.g. Pandas, NumPy)
• Ability to work with large datasets and perform data cleaning, transformation, and manipulation
• Graduated in Economics, Econometrics, Quantitative Methods, Computer Science, Maths, Physics, Operational Research or a related discipline
• Proficiency in English, both written and spoken
• Excellent analytical and problem-solving skills

Nice to have:

• Knowledge of frameworks and Python libraries related to GenAI agents (e.g. Langraph, CrewAI, Autogen, Taskweave)
• Knowledge of Natural Language Processing techniques 
• Knowledge of an extra programming language (e.g. C#, Go, Java) 
• Hands-on development experience with .NET technology stack (C#, SQL Server, Azure PaaS, Azure DevOps and CI/CD Pipelines) 

Offer:

• Private medical care
• Co-financing for the sport card
• Training & learning opportunities
• Constant support of dedicated consultant
• Team-building events organized by DCG
• Employee referral program