AI Agentic Engineer

About the role

Multi-disciplinary AI Engineer to design, implement and deploy LLM-driven agents with backend and front-end integration: agent harness engineering, agent development, agentic workflows, LLM evaluation/hosting, fine-tuning.

Requirements

• Strong Python and AI foundation
• Hands-on LLM knowledge: prompt engineering, context management, structured outputs, tool calling, retrieval, evals, fine-tuning
• Experience with agent harnesses and frameworks (Claude Agent SDK, LangGraph, PydanticAI, Google ADK)

What you'll do

• Build agent harness layer: agent loops, tool execution, context management
• Build multi-step and multi-agent workflows
• Build MCP servers for agents
• Develop FastAPI services for agent execution
• Build agent UIs in React/TypeScript/Next.js with SSE/WebSockets
• LLM evaluation, hosting and LoRA/QLoRA fine-tuning experiments

Where this was posted

• Indeed

  last seen 32m ago
  View on Indeed