AI Engineer (Agentic Workflows)
Tasks
- Build evaluation harnesses and test suites
- Build retrieval-augmented generation pipelines
- Design agentic workflows
- Design prompts and context management
- Implement observability for latency cost and quality
- Integrate Large Language Models via APIs
- Monitor AI workflows in production
- Recommend new AI models and frameworks
- Select orchestration tooling for multi step workflows
- Translate business problems into technical specifications
Perks/Benefits
Skills/Tech-stack
API Integration | Agent systems | Chunking | Cloud Computing | Containers | Context Management | Embeddings | Evaluation testing | LLM APIs | Language Models | Large Language Models | Multi-Agent | Multi-Agent Systems | Observability | Orchestration | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Tool-Calling | Vector Databases | Vector Search
Roles
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