Staff Level AI Engineer
Tasks
- Apply LLMs and retrieval augmented generation in production
- Build AI driven user workflows
- Build multi tenant AI infrastructure
- Collaborate with product and data science teams
- Design and integrate agentic chat across product
- Design data pipelines
- Implement observability evaluation and guardrails
- Research and apply AI methods
- Translate business requirements into AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Azure | Dagster | Data pipeline | Deep learning | Embeddings | Evaluation | GCP | Huggingface | LLM | Langchain | Language Processing | Machine Learning | Multi-tenant | Multi-tenant architecture | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | RAG | SQL | Supervised Learning | Tenant architecture | Unsupervised Learning
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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