AI Engineer (Python)
Tasks
- Build production ready RAG pipelines
- Collaborate across projects in parallel
- Communicate with stakeholders on client solutions
- Deploy LLM applications on cloud
- Design AI agents for complex reasoning
- Integrate AI solutions with existing systems
- Monitor ML pipelines and optimize performance
- Own ML pipeline from prototyping to production
Perks/Benefits
- Extra vacation days
- Flexible working hours
- Health insurance
- Referral bonus
- Unlimited WFH
- Work from anywhere policy
- Yearly training budget
Skills/Tech-stack
AWS | Azure | Data Pipelines | ETL | GCP | Langchain | Language Models | Large Language Models | Llamaindex | PostgreSQL | Python | RAG | Retrieval-Augmented Generation | SQL | Vector Database | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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