Innovative AI Engineer

About you

The ideal candidate is an innovative AI Engineer with exceptional skills in AI modelling, data structures, retrieval-augmented generation (RAG), and feedback optimization systems. Self-driven professional capable of architecting end-to-end AI solutions.

We expect you to be a frontrunner and understand all the new tools, model changes that happens day by day. 
Your english skills are super important, as you will be working with an international team. Fluent is preferred, but otherwise strong professional capabilities are required. 

We offer

• A chance to work with an innovative market leader within IT present in 13 countries
• Short but many iterations on products
• Fewer meetings - More product
• Large dataset
• Long term commitment for mutual benefit
   

Responsibilities

• Design and implement production-grade AI models optimized for real-world applications
• Create efficient data indexing architectures utilizing RAG, LiteRAG, or equivalent frameworks
• Drive cross-functional collaboration to enhance internal systems and workflows
• Develop and deploy scalable APIs for advanced data retrieval and processing
• Establish robust quantitative and qualitative testing frameworks for AI solution evaluation

Must-Haves

• Advanced Python expertise with demonstrated proficiency in AI/ML libraries
• Specialized knowledge in optimizing data indexing structures for AI search applications
• Extensive experience working with Large Language Models and fine-tuning techniques
• Proven track record building autonomous AI agents and sophisticated workflow systems
• Demonstrated success integrating AI solutions with traditional software applications
• Expert-level API development skills with emphasis on performance and scalability

Nice-to-Haves

• Solid understanding of reinforcement learning and supervised fine-tuning for LLMs
• Docker containerization expertise for AI application deployment
• Kubernetes orchestration experience for managing complex AI workloads
• Azure cloud or Google cloud platform knowledge, particularly with AI/ML services
• Advanced text analysis capabilities including semantic understanding and NLP techniques
• Familiarity with most popular data analysis python packages like NumPy, Pandas and AI agent frameworks like PydanticAI 
• Prior experience in Machine Learning and Data Science