Director of AI Engineering
Tasks
- Collaborate with product data and GTM teams to prioritize AI initiatives
- Communicate risks progress and value to executive leadership
- Define end to end architecture for AI and GenAI applications
- Design LLM service integration and external system interfaces
- Develop and deliver LLM powered products with RAG pipelines agents and personalization
- Implement model lifecycle and MLOps practices for production deployments
- Lead AI engineering organization
- Own cost quality and performance trade offs across AI services
- Scale CI CD observability on call and release management
- Set engineering standards for evaluation responsible AI and reliability
- Translate business priorities into multi quarter technical roadmaps
Perks/Benefits
- Enhanced parental leave
- Flexible time off
- Flexible working policy
- Free snacks and drinks
- Gaming area in workspace
- Pension contribution match
- Private medical insurance
- Regular social events
- Unlimited access to learning courses
- Wellness days
Skills/Tech-stack
AWS | Agents | Architecture | Azure | CI/CD | Call Management | Cloud Native | Cloud-Native Deployment | GCP | Generative AI | LLM | MLOps | Machine Learning | Model Evaluation | Observability | On-Call | On-call Management | RAG | Release Management | Responsible AI | Retrieval-Augmented Generation
Education
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