Applied AI Engineer (f/m/x)
Tasks
- Architect multi step AI agent pipelines
- Automate business processes with AI workflows
- Build streaming caching and cost optimized pipelines
- Deploy and operate services on AWS
- Design and build Python FastAPI backend services
- Design tool schemas and manage agent state
- Implement observability and cost governance
- Implement prompt engineering and context strategies
- Implement retry fallback and human in the loop controls where required
- Integrate LLM APIs and SDKs
- Integrate generative media APIs into automated content workflows
- Parse structured LLM outputs
- Translate business needs into AI powered solutions
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | Agent Orchestration | Anthropic API | Caching | Cloud Cost Management | Context window | Context window management | Cost Management | Cost Optimization | CrewAI | Fallback Logic | FastAPI | Generative Media | Generative Media APIs | Human-in-the-loop | LLM API | LLM API integration | Langgraph | Language Models | Large Language Models | Media APIs | Observability | OpenAI API | Output parsing | Prompt engineering | Python | Retry logic | State management | Streaming | Structured Output | Structured output parsing | The Loop | Tool-Calling | Window management
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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