Senior GenAI Engineer
Tasks
- Build integrate and deploy foundation model solutions
- Build scalable cloud infrastructure for AI products
- Communicate findings and facilitate client workshops
- Design AI applications workflows and agents
- Fine tune adapt and combine pre trained models
- Implement LLM and vision model pipelines
- Implement data pipelines and backend services
- Maintain internal AI frameworks playbooks and engineering standards
- Set up evaluation monitoring logging and benchmarking
- Validate AI feasibility risks and responsible use
Perks/Benefits
- 25 vacation days
- Chair massages
- Coaching and mentoring
- Company outings
- Flexible work schedule
- Friday drinks
- Laptop provided
- Lunch provided
- Training and courses
- Work from home
Skills/Tech-stack
Amazon Web Services | Anthropic | Azure | Azure OpenAI | Benchmarking | CI/CD | Cloud infrastructure | Cloud platform | Computer Vision | Data Pipelines | Docker | Embeddings | Fal.ai | Fine Tuning | Google Cloud | Google Cloud Platform | Google Gemini | Language Models | Large Language Models | Logging | Machine Learning | Meta | Model Evaluation | Monitoring | Multimodal Models | OpenAI | Prompt engineering | Python | Retrieval-Augmented Generation | TypeScript | Vector Databases | Web Services
Education
N/A
Regions
Countries
States
Cities
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