Senior AI Software Engineer
Tasks
- Architect scalable AI system components
- Build data pipelines for AI systems
- Deploy and operate production AI systems
- Develop evaluation workflows for AI applications
- Document prototypes and share technical insights
- Ensure responsible AI fairness transparency privacy security
- Implement MLOps pipelines for model lifecycle
- Integrate models and orchestrate workflows
- Lead design and development of LLM applications
- Mentor engineers on AI engineering best practices
- Monitor quality reliability latency and cost
- Optimize models for performance and safety
Perks/Benefits
- Commute compensation
- Flexible working hours
- Learning and development programs
- Meal card
- Meeting Light Culture
- Online e-learning access
- Open culture
- Paid birthday off
- Paid time off for events
- Pension Retirement Plans
- Private health insurance
- Private health insurance coverage for dependents
- Remote working option
- Work from home support
- Workshops and training events
Skills/Tech-stack
Agent Orchestration | CI/CD | Cloud Computing | Context engineering | Docker | Evaluation | Experiment tracking | Generative AI | Kubernetes | LLM | MLflow | Machine Learning | Model Monitoring | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Transformer
Education
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