AI Engineer-Hermes Agent
Core
Design, build, and orchestrate autonomous AI agents capable of reasoning, planning, and executing complex workflows with minimal human intervention.
Role type
Senior IC Agentic AI Engineer
Builds
Autonomous AI agents interacting with dynamic environments, using tools, and collaborating with other agents
Domain
Artificial Intelligence / Agentic Systems
Deliverable
production ML models
Required skills
Python, Prompt Engineering, ReAct/CoT/ToT reasoning patterns, Vector Databases (Pinecone, Weaviate, Qdrant), RAG optimization, Workflow orchestration (Temporal, Prefect, Airflow), LLM Observability, Model Context Protocol (MCP), Hermes Agent framework
Preferred skills
Spec-Driven Development (SDD), BMAD methodology, Github Spec Kit, OpenSec, Code interpreters, UI automation
Technologies
LangSmith, Arize, W&B, Slack, REST APIs, JSON mode
Responsibilities
Implement agentic patterns in production, optimize latency and token cost, build custom tools in sandboxed environments, monitor LLM applications for drift and safety, manage context and memory via vector DBs
Seniority
Senior, hands-on IC