Senior AI Engineer developing production - grade AI solutions across ML and optimization. Leading design and deployments while mentoring junior engineers and collaborating with AI leadership.
About the role
- Full-Stack AI Engineer developing intelligent AI systems for Cube RM. Collaborating with teams to push AI boundaries in business workflows within a hybrid working environment.
Responsibilities
- Design, develop, and deploy autonomous AI systems and intelligent agents
- Implement and optimize AI features in web applications, ensuring seamless integration with existing systems
- Develop and refine production-level prompt chains for various AI models to achieve optimal performance and user experience
- Build and maintain AI pipelines for training, testing, and deployment
- Build memory systems, RAG pipelines, and multi-agent workflows that help AI reason, retrieve information, and take action
- Monitor and improve AI system performance, reliability, and accuracy
- Develop robust backend services and APIs using .NET and Python
- Create responsive and intuitive frontend interfaces using HTML, CSS, and Angular
- Ensure code quality, maintainability, and adherence to best practices, compliance with AI policies and ethical standards
- Collaborate with AI governance teams to ensure compliance, auditability, and ethical deployment standards
- Document AI system behaviors, limitations, and use cases
- Stay current with emerging AI technologies and industry trends
Requirements
- 4+ years of experience in backend development with .NET (C#) or Python and frontend development
- 2+ years working with AI technologies or implementing AI features in production systems
- Proven track record of delivering full-stack applications
- Experience with cloud platforms (preferably Azure, given Microsoft Agent Framework)
- Understanding of RESTful APIs, SOLID principles, and design patterns
- Background in natural language processing (NLP) or conversational AI
- Familiarity with DevOps practices and CI/CD pipelines
- Strong problem-solving abilities and analytical thinking, attention to detail and commitment to quality
- Self-motivated with ability to work independently and in a hybrid environment
- Collaborative mindset with experience working in agile/cross-functional teams
Benefits
- Competitive compensation and benefits package (Medical - Life Insurance, meal e-card)
- Friendly working environment and several “work-office” perks (Advanced work/IT equipment, Welcome package, Wellness offerings)
- Flexible work schedule (Hybrid model)
- Access to training and support, so you'll never feel left on your own (e-training options, subsidized certifications).
- Exposure to cutting-edge technologies and software/product development methodologies
- Be part of several tech communities, as we support/participate into several meet-ups, both local and international
Job title
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