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
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