Competencies: AI & ML > AI Agents & Orchestration

Agent Fundamentals

ReAct pattern, tool use, planning, memory, autonomous reasoning loops.

Critical

AI Engineer, ML Engineer

LangChain/LangGraph

Chains, agents, tools, memory, LangGraph for stateful multi-step workflows.

High

AI Engineer, Backend Developer

Function Calling

Tool schemas, structured outputs, function calling patterns, error handling.

Critical

AI Engineer, Backend Developer

Claude SDK/Anthropic

Messages API, tool use, Claude Code SDK, streaming, batch processing.

High

AI Engineer

OpenAI Assistants API

Threads, runs, file search, code interpreter, assistant configuration.

High

AI Engineer

Multi-Agent Systems

Agent collaboration, orchestration, handoffs, consensus, agent-to-agent communication.

Medium

AI Engineer, Research

Model Context Protocol (MCP)

Anthropic MCP, tool servers, resource providers, cross-application AI context.

Medium

AI Engineer, Platform Engineer

Agentic Workflows

Planning agents, reflection, self-correction, human-in-the-loop, approval flows.

High

AI Engineer, Product Engineer

Memory and State

Conversation memory, long-term memory, knowledge graphs, state management.

High

AI Engineer, ML Engineer

Agent Evaluation

Task completion, safety testing, cost analysis, latency, reliability metrics.

High

AI Engineer, QA

No personal status recorded

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