Senior AI Engineer
Tasks
- Apply context engineering
- Apply prompt engineering
- Automate model deployment and orchestration
- Build AI workflows and pipelines
- Create production AI agents
- Deploy LLM solutions on cloud platforms
- Develop AI architecture patterns
- Evaluate benchmark and document models
- Implement function calling and tool use
- Implement observability and monitoring
- Integrate AI agents into applications
Perks/Benefits
- Disability insurance
- Donation matching
- Employee assistance program
- Hybrid working
- Life insurance
- Medical insurance
- Online learning
- Paid sick leave
- Paid time off for bereavement
- Paid time off for voting
- Retirement plans
- Unlimited vacation
- Volunteering paid time off
Skills/Tech-stack
AWS Bedrock | Agent systems | Azure OpenAI | CI/CD | ChromaDB | Context engineering | Faiss | Git | GitHub | LLM Observability | Langchain | Langgraph | Language Models | Large Language Models | Multi-Agent | Multi-Agent Systems | Pinecone | Prompt engineering | Python | RAG | Text-to-SQL | Tool use | Vector Databases | Weaviate
Education
N/A
Roles
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