We are seeking an experienced and driven AI Engineer to join our team in developing AI-powered solutions for complex real-world use cases, innovative projects and cutting-edge explorations. This role involves end-to-end development of AI applications, including integration with LLMs, backend and front-end development, as well as deployment expertise. 

In this role you will: 

• Work with AI models and agents 
• Create and orchestrate AI agents 
• Prompt Engineering  
• Evaluate performance and quality of produced results
• Build and maintain RAG workflows 
• Process and analyze large datasets ensuring high-quality input for embedding and fine-tuning AI models. 
• Deploy and operate AI systems in а Cloud environment 
• 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 the 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
• 3-5+ years of hands-on experience with classical ML algorithms and generative models
• Experience with Python, JavaScript or other programing languages
• Experience with Big Data/Distributed computing frameworks like Apache Spark
• Strong foundational knowledge of LLM architecture and functionality 
• Strong knowledge of AI/ML algorithms
• Knowledge in the Data Science field (data preparation, exploration, visualization, modeling, validation, experimentation, etc…)
• Familiarity with agentic frameworks 
• Experience with Vector DBs (Pinecone, Chroma…), TensorFlow, PyTorch, Hugging Face, LangChain or other tools
• Experience with cloud environments, preferably Azure
• Expertise in specialized areas such as Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning is a plus.
• Excellent problem-solving abilities and effective communication skills for cross-functional collaboration
• Stellar communication skills in English

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 designated space for bikes and electric scooters

 #LI-NT1

#LI-Hybrid