AI Engineer
Tasks
- Add governance guardrails for agents
- Build RAG solutions
- Design and implement AI agents
- Develop Model Context Protocol tooling
- Implement Human in the Loop approval flows
- Implement agent to agent communication
- Integrate vector databases and embeddings
- Optimize prompts and evaluate performance
- Provide tracing and agent operation observability
Perks/Benefits
Skills/Tech-stack
A2A protocols | AWS | Agent systems | AgentOps | Agents SDK | Anthropic Agents SDK | Autogen | Azure OpenAI | Embeddings | Google Cloud | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Python | RAG | Retrieval-Augmented Generation | Self Hosted | Self-hosted Models | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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