Senior AI Engineer
Tasks
- Build ML and GenAI pipelines
- Build and productionize LLM applications
- Build evaluation and experimentation pipelines
- Create monitoring and alerting for models
- Deploy and operate AI and ML systems
- Design LLM based applications
- Develop RAG systems
- Develop data ingestion and model orchestration pipelines
- Develop production APIs and services
- Implement CI/CD for ML pipelines
- Implement chatbots and AI assistants
- Improve existing ML and AI systems
- Integrate LLMs with internal data sources
- Write test debug Python code
Perks/Benefits
- 25 vacation days
- Discounts at local stores
- Great equipment
- Gym membership
- Hybrid work environment
- International team environment
- LinkedIn Learning
- Paid sick days
- Special occasion leave
- Yearly personal development budget
Skills/Tech-stack
API Development | AWS | CI/CD | Containerization | Data Ingestion | Embeddings | Experiment tracking | GCP | Generative AI | Hugging Face | Information Retrieval | Infrastructure as Code | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Model Deployment | Model Evaluation | Model Monitoring | Model Orchestration | Observability | OpenAI API | Python | Retrieval-Augmented Generation | Vector Database | Vector Search | “as-code”
Education
N/A
Roles
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