AI Engineer
Tasks
- Build and optimize RAG pipelines
- Build vector search solutions
- Contribute to technical architecture decisions
- Deploy AI solutions
- Design AI-powered applications and services
- Develop AI agents and workflow automation
- Experiment with prompt engineering fine tuning and evaluation
- Integrate LLMs and AI APIs
- Monitor AI performance quality latency cost
- Process structured and unstructured data
Perks/Benefits
- Annual leave
- English lessons
- Gym allowance
- Hybrid work
- Lunch allowance
- Medical leave
- On-site massages
- Online learning budget
- Paid Maternity Leave
- Paid paternity leave
- Private medical subscription
- Sick leave
- Team-building activities
- Work from home
Skills/Tech-stack
CI/CD | Cloud platform | Docker | Embeddings | Fine Tuning | Google Cloud | Google Cloud Platform | Langchain | Language Models | Large Language Models | Llamaindex | Microservices | Model Evaluation | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Semantic Search | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | AI/ML Engineer | Engineer | ML Engineer
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