Applied AI Engineer (Automation)
Tasks
- Build production AI workflows and services
- Design and deploy AI/automation solutions
- Develop agentic workflows with tool calling
- Harden prototypes into scalable production systems
- Implement RAG pipelines with retrieval systems
- Integrate LLMs into business workflows via APIs
- Monitor and improve deployed AI solutions
- Run client demos and technical calls
- Write technical documentation and internal playbooks
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Amazon Bedrock | Asynchronous programming | Azure | Celery | Docker | Elasticsearch | FastAPI | GCP | Google ADK | IBM Watsonx.ai | Kafka | LLM | Langchain | Langgraph | Langsmith | Make | N8n | Observability | OpenAI | OpenTelemetry | PGVector | Pinecone | Python | RAG | Redis | Retrieval-Augmented Generation | Structured Output | Tool-Calling | Vector Databases | Zapier
Education
N/A
Roles
AI | AI & Automation Engineer | AI Automation | AI Engineer | Applied AI Engineer | Automation Engineer | Engineer
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