Agentic AI Engineer
Core
Design, build, and deploy AI-powered applications and autonomous agents using modern LLMs to automate tasks and solve business challenges in manufacturing.
Role type
Agentic AI Engineer
Builds
AI agents, multi-agent solutions, and AI applications integrated into enterprise systems
Domain
Manufacturing + Generative AI / LLMs
Deliverable
production ML models
Required skills
Python, LLMs/Generative AI, AI agents, prompt engineering, tool/function calling, REST APIs, Docker, CI/CD
Preferred skills
OpenAI Agents SDK, Claude Agent SDK, LangGraph, Model Context Protocol (MCP), Qdrant, Retrieval-Augmented Generation (RAG), Context Engineering, AI Evaluation (Evals), Azure AI / Azure OpenAI
Technologies
Python, LLMs, Docker, CI/CD, MCP, Qdrant, Azure AI
Responsibilities
Design and build AI agents and multi-agent solutions for real business use cases; Develop AI applications using modern LLMs and agent frameworks; Integrate AI agents with APIs, databases, and external tools; Build context-aware AI solutions using RAG and vector databases; Evaluate, optimize, and improve AI agent quality and performance; Deploy and maintain AI applications using Docker and CI/CD pipelines
Seniority
Mid-Senior, hands-on IC
