Senior AI Engineer
Tasks
- Apply deep learning and NLP to business problems
- Build and integrate RAG systems and vector search
- Deploy AI systems with Azure or GCP using Kubernetes
- Design and build scalable LLM and ML architectures
- Design and optimize LLM prompts
- Develop AI applications with clean code
- Develop LLM and RAG solutions
- Implement responsible AI solutions
- Integrate data pipelines with domain datasets
- Model data and build machine learning pipelines
- Perform data exploration and preparation
- Present technical solutions and recommendations
- Support full AI product lifecycle from idea to production
Perks/Benefits
- E-learning platform
- Hybrid work
- Life insurance
- Lunch subsidy
- Medical insurance
- Online training
- Social events
- Sport subsidy
- Training & Certifications
- Wellbeing platform
- Work from anywhere
Skills/Tech-stack
API Design | Azure | Azure DevOps | BDD | CI/CD | Cloud Build | Concurrency | Deep learning | Docker | FastAPI | Google Cloud | Jenkins | Kubernetes | LLM | Langchain | Language Processing | Machine Learning | Microservices | Monitoring | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | RAG | Responsible AI | Spring | TDD | Vector Search
Education
N/A
Roles
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