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