AI Engineer
Tasks
- Architect multi-agent systems
- Build agent and RAG backends
- Containerize applications for deployment
- Create evaluation pipelines
- Debug and optimize multi agent workflows
- Deploy AI applications to cloud
- Develop MCP servers
- Develop REST APIs
- Enforce testing and code reviews
- Ground responses in proprietary data
- Implement retrieval-augmented generation
- Integrate GraphQL APIs
- Measure agent reliability accuracy
- Orchestrate agentic workflows
- Serve LLMs in production
Perks/Benefits
Skills/Tech-stack
AWS | Asynchronous programming | Azure | Clean architecture | Concurrency | Docker | GCP | GraphQL | Hugging Face | Hugging Face Transformers | JSON | Langchain | Langgraph | Language Models | Large Language Models | MCP | OpenAI API | Pytest | Python | RAG | REST API | Retrieval-Augmented Generation | State management | XML
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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