AI Engineer – Agentic Systems

Tasks

• Design, develop, and deploy production-ready AI agents that automate complex technical and operational workflows.
• Build agentic AI and multi-agent workflows using LangChain, LangGraph, or equivalent frameworks.
• Develop RAG pipelines, embeddings, vector search, and enterprise data integrations.
• Implement tool/function calling and MCP integrations.
• Build production Python services and APIs using FastAPI and Docker.
• Optimize LLM token utilization, cost, latency, and performance.
• Implement LLMOps, monitoring, evaluation, and CI/CD practices.

Requirements

• Experience: 3–5 Years | Mid-Level Individual Contributor
• Strong Python scripting and software engineering skills.
• Hands-on experience with LLM/GenAI applications and RAG.
• Experience with agent orchestration and tool calling.
• Azure database experience and SQL knowledge.
• Token utilization and cost optimization.
• Docker, CI/CD, and cloud deployment experience.
• Preferred: MCP, multi-agent systems, human-in-the-loop workflows, LLM observability, and experience in server validation, hardware validation, semiconductor, or manufacturing domains.

Schedule

• Fully Onsite

How to apply

• Share your updated resume or refer suitable candidates.

Location

• Austin, TX