Agentic AI Engineer

Introduction:

The Agentic AI Engineer will be responsible for building autonomous or semi-autonomous workflows utilizing various technologies and tools such as agents, MCP, orchestration, evals, LLMs, RAG, Python, APIs, and vector DBs.

Responsibilities:

• Design and develop autonomosemi-autonomous workflows using agents and other relevant technologies
• Implement tool use and orchestration for efficient workflow operations
• Conduct evaluations and optimizations to improve workflow performance
• Utilize LLMs (Large Language Models) for natural language processing tasks
• Work with RAG (Retrieval-Augmented Generative) models for information retrieval and generation
• Collaborate with cross-functional teams to integrate AI workflows into existing systems
• Troubleshoot and debug issues in AI workflows
• Stay updated on the latest advancements in AI technologies and tools

Requirements:

Required Skills: Agents, tool use, MCP, orchestration, evals, LLMs, RAG, Python, APIs, vector DBs

Preferred Skills: Experience with machine learning algorithms, familiarity with cloud computing platforms, knowledge of data visualization tools