AI Engineer - Automotive
Tasks
- Collaborate with AI platform team to scale AI capabilities
- Design vector storage for AI applications
- Develop and optimize generative AI applications
- Drive generative AI application architecture
- Establish AI engineering practices for testing observability and security
- Experiment with LLM models
- Implement guardrails and evaluation frameworks
- Implement rag pipelines
- Integrate LLM APIs into production systems
- Integrate and validate data quality
- Integrate retrieval with internal data sources
- Optimize AI application performance
- Perform prompt engineering and model evaluation
- Support business units with AI model deployment
Perks/Benefits
- Bookster subscription
- Flexible Working Program
- Learning platform access
- Lunch tickets
- Premium medical package
- Remote work opportunities
Skills/Tech-stack
Anthropic API | Azure OpenAI | Data Pipelines | Document processing | ETL | Embeddings | Generative AI | LLM orchestration | LLMOps | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Observability | OpenAI API | PostgreSQL | Prompt engineering | Python | Retrieval-Augmented Generation | Security | Snowflake | Testing | Vector Databases | Vector Search
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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