AI Engineer (Agents, Quant) in Machine Learning Team (#1020)

Описание

Location: Remote (Ukraine)

Your expertise:

• High personal interest and self-development in AI
• Experience with AI agents in Production
• Experience with Data Science activities
  

Will definitely be a plus: 

• Lead personal pet AI projects or participate in AI startups
• High interest and experience in Quantitative Analysis
• High interest and experience in Finance and Economics
• Experience with advanced multi-agent systems
• Experience with Generative AI - complex prompt engineering, RAG, LLM finetuning
• Experience in evaluating the quality of Generative AI and Agentic AI services
• Experience with documenting solution architecture and experiment reports
• Experience with Research & Development projects or scientific research

What’s in it for you? 

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into:

• Perform research on Generative AI and Agentic AI solutions
• Develop new AI solutions and participate in the architecture definition
• Support and upgrade current AI solutions used in Production
• Analyze data, design data collection, and assess the quality of the AI services