AI Engineer (Agents, Quant) in Machine Learning Team
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
About the company and project:
ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today, Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 16 million customers and 19 million domains under management — and we’re just getting started.
Our culture is built on the values that we live every day: the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.
Namecheap has been on the market for 20+ years and is the 2nd largest domain registry in the world. We are the Namecheap Machine Learning Team.
The team prototypes and develops innovative systems with AI and Machine Learning. At the moment, there are more than 10 Production systems in the areas of Emails, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of global market leaders.
The team provides all the conditions for active professional growth. The culture combines the best from enterprises and startups: a high level of professionalism, truly innovative technologies, friendliness, and stability.