Key skills
AWSAzureCloudGoogle Cloud PlatformPythonTypeScriptAIMachine LearningRAGLangChainLangGraphGCPGoogle CloudVersion ControlCI/CDCommunicationCollaborationRemote Work
About this role
Role Overview
- Building AI-enabled systems
- Integrating LLMs and RAG solutions
- Working with cloud services, data pipelines, and model-driven features
- Collaborating with international teams on technical requirements
Requirements
- 3–6 years of professional experience as a Machine Learning Engineer, AI Engineer, Backend Engineer, or similar roles
- Experience integrating LLMs, RAG systems, AI services, or agent-based workflows
- Experience with LangChain, LangGraph, or similar AI orchestration tools
- Experience with cloud services such as AWS, GCP, or Azure
- Understanding of software engineering best practices, including testing, code reviews, version control, and CI/CD
- Excellent communication and teamwork skills
- Experience with Python or TypeScript for backend development is a plus
- Experience with event-driven architectures is a plus
- Frontend experience is a plus
- Strong English communication skills
- Minimum B2 level proficiency, C1 preferred
- Send your application and CV in English (mandatory)
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Python
- TypeScript
Benefits
- Remote work
- Flexible schedule
- Collaboration with international clients
- USD compensation
- Paid Holidays and Vacations
- Paid family and sick leaves
- English classes
- Educational and wellness bonus
- Structured career plan with regular salary reviews
- Emphasis on personal growth and mentorship