Our team combines deep technical expertise with strong industry understanding to help organizations make informed, data-driven decisions and fully leverage advanced AI and machine-learning capabilities
Job Summary
Our team combines deep technical expertise with strong industry understanding to help organizations make informed, data-driven decisions and fully leverage advanced AI and machine-learning capabilities.
Your work will support impactful client solutions while contributing to the development of next-generation AI assets and applications.
We offer a stable, challenging working environment with plenty of opportunities for continuous professional growth, fair salary, flexible working hours, and a comprehensive benefit program.
Matching Summary
Our team combines deep technical expertise with strong industry understanding to help organizations make informed, data-driven decisions and fully leverage advanced AI and machine-learning capabilities.
Skills & Requirements
Must-have
Design and implement AI pipelines
Build and refine LLM-based applications
Develop reusable AI components and APIs
Create robust prompt strategies and evaluation frameworks
Integrate embedding models and vector databases
Apply engineering best practices (testing, CI/CD)
Contribute to MLOps for AI solutions
Nice-to-have
Experience with global/multinational teams
Interest in behavioral economics
Experience with agile methodologies
Key Requirements
Bachelor's or Master's degree in Computer Science, Data Science, or related discipline
Strong software engineering skills in Python
Hands-on experience building LLM applications
Practical knowledge of RAG architectures, embedding models, and vector databases
Experience with AI/LLM orchestration frameworks
Familiarity with cloud-native development (Azure preferred)
Experience with version control, Docker, CI/CD pipelines, and testing strategies