AI Engineer

• Work with AI models and agents
• Create and orchestrating AI agents
• Prompt Engineering
• Evaluate performance and quality
• Build and maintain RAG workflows
• Process and analyze large datasets ensuring high-quality input for embedding and fine-tuning AI models.
• Deploy AI systems in the Cloud on production environments
• Design and build Web APIs for seamless integration with AI solutions
• Stay up to date with emerging AI trends, tools and breakthroughs, ensuring integrating relevant advancements to drive innovation.
• Collaborate closely with cross-functional teams (e.g. product managers, legal, etc.) to ensure alignment of AI-driven solutions with strategic business objectives.

Your background:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science or equivalent professional experience
• Experience with Python, JavaScript and C#
• Strong foundational knowledge of LLM architecture and functionality
• Familiarity with Langchain or alternative frameworks
• Experience with Vector DB (Pinecone, Chroma…) for efficient storage and retrieval of vector embeddings in LLMs
• Strong understanding of data processing, feature engineering, and model evaluation techniques
• Experience with cloud platforms (Azure, AWS) and containerization (Docker, Kubernetes) for AI deployment.
• Experience with AI Frameworks (Tensor Flow), along with designing, developing and deploying AI/ML models in real-world applications, would be an advantage.
• Expertise in specialized areas such as Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning is a plus.

What we offer in return is the opportunity to experience a great company culture with wonderful colleagues to learn from and collaborate with and also to enjoy:  

Compensation:

• Generous remuneration package
• Employee Stock Purchase Plan Enrollment

Vacation, Family, and Health

• 30 days paid annual vacation
• An extra day off for your birthday
• 2 additional days off for volunteering
• Premium healthcare and dental care coverage
• Additional pension insurance
• Well-equipped gym on-site
• Co-funded Multisport card
• Daycare Center for your little ones onsite
• Flexible working hours and the opportunity to work from home.
• Free underground parking with a designated space for bikes and electric scooters