Agentic AI Engineer
Core
Design, build, and orchestrate autonomous AI agents capable of reasoning, planning, and executing complex workflows with minimal human intervention.
Role type
Agentic AI Engineer
Builds
Autonomous agent systems, multi-agent collaboration patterns, and production-ready agent frameworks.
Domain
Artificial Intelligence / Agentic Systems
Deliverable
production ML models
Required skills
Python, prompt engineering, few-shot learning, structured output generation, ReAct, Chain-of-Thought, Tree-of-Thoughts, Plan-and-Solve, vector databases, semantic caching, function calling, API grounding, agentic evaluation, observability, latency optimization, cost optimization, tool development, sandboxed environments
Technologies
Hermes Agent, LangSmith, Arize, Weights & Biases
Responsibilities
Design and implement autonomous agent systems; Build multi-agent collaboration patterns; Implement agentic memory systems; Integrate advanced reasoning techniques; Develop agents capable of dynamic planning and error recovery; Implement tool use and API grounding; Build robust evaluation frameworks; Instrument agents with tracing and logging; Optimize for latency, cost, and reliability; Connect agents to internal and external systems; Develop custom tools and sandboxed environments.