Data & AI Engineer
Tasks
- Build AI applications using Python and LLMs
- Collaborate with cross-functional teams to integrate AI solutions
- Conduct research on new LLM technologies
- Define AI evaluation metrics and benchmarking
- Deploy and optimize AI powered tools
- Develop retrieval-augmented generation pipelines
- Fine-tune and optimize prompt strategies
- Implement monitoring for LLM performance and cost
Perks/Benefits
- Barista coffee
- Bonus vacation days
- External conferences
- Gym access
- Mentorship
- On site well being consultants
- Paid life moment days off
- Private health insurance
- Psychotherapy
- Quarterly team building
- Remote Friendly Tools Provided
- Team events
- Wellness app
- Workation
- Year round knowledge sharing
Skills/Tech-stack
Agentic development | Airflow | Amazon Web Services | Apache Superset | Argo CD | Benchmarking | BigQuery | Cloud Pub/Sub | Cloud Storage | Cloud platform | Continuous Delivery | Continuous Integration/Continuous Delivery | Continuous integration | DBT | Docker | Evaluation | Git | Google Cloud | Google Cloud Platform | Google Cloud Pub/Sub | Google Cloud Storage | Kubernetes | Language Models | Large Language Models | Machine Learning | Power BI | Prompt engineering | Pub/Sub | Python | Retrieval-Augmented Generation | SQL | Terraform | Web Services
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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