Senior AI Engineer
Tasks
- Apply context engineering
- Apply prompt engineering
- Automate model deployment and orchestration
- Build AI workflows and pipelines
- Create production grade AI agents
- Deploy LLM solutions to cloud platforms
- Develop AI architecture patterns
- Document AI models
- Evaluate and benchmark models
- Implement function calling
- Implement observability and monitoring
- Implement tool-use workflows
- Integrate AI agents into applications
- Manage LLM solutions
Perks/Benefits
- Accredited courses
- Disability insurance
- Donation matching
- Employee assistance program
- Employee recognition
- 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 | Agile Scrum | Azure OpenAI | CI/CD | ChromaDB | Context engineering | Faiss | Function Calling | Git | GitHub | Langchain | Langgraph | Language Models | Large Language Models | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Pinecone | Prompt engineering | Python | Retrieval-Augmented Generation | Text-to-SQL | Vector Databases | Weaviate
Education
N/A
Roles
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