Agentic AI Engineer - Onsite in San Jose

Tech Mirrors; San Jose (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Tech Mirrors in San Jose, CA, on-site, seeks an experienced Agentic AI Engineer to design and deploy advanced AI agents and multi-agent systems. You will build Python-based services, integrate LangChain/LangGraph, and create scalable pipelines for task automation and decision making.

The ideal candidate has 10+ years in software or AI engineering, with 5+ years in agentic AI development, and will collaborate with engineering and data teams to optimize agent behavior through rigorous testing and

Qualifications

• Strong Python programming experience.
• Hands-on experience with LangChain and/or LangGraph.
• Experience building agentic AI or LLM-based solutions.
• Knowledge of RAG, prompt chaining, memory, and tool orchestration.
• API development experience, preferably with FastAPI or Flask.
• Understanding of databases, vector stores, and backend integration.
• Good problem-solving and communication skills.

Responsibilities

• Design and develop AI agents using Python, LangChain, and LangGraph.
• Build multi-agent workflows for task automation, reasoning, and retrieval.
• Develop RAG pipelines using vector databases and document sources.
• Integrate LLMs with APIs, databases, and backend services.
• Create scalable Python microservices for agent orchestration.
• Work with prompt engineering, memory, tool usage, and guardrails.
• Deploy solutions using cloud-native and container-based approaches.
• Monitor performance, reliability, and safety of AI systems.
• Collaborate with engineering, product, and data teams.
• Troubleshoot issues and improve agent behavior through testing and evaluation.

Skills

Python

LangChain

LangGraph

Agentic AI

LLM integration

API development

Databases/Vector stores

Problem solving

Communication

Tools

FastAPI

Flask

Docker

Kubernetes

AWS/Azure

CI/CD

Job description

Tech Mirrors in San Jose, CA, on-site, seeks an experienced Agentic AI Engineer to design and deploy advanced AI agents and multi-agent systems. You will build Python-based services, integrate LangChain/LangGraph, and create scalable pipelines for task automation and decision making.

The ideal candidate has 10+ years in software or AI engineering, with 5+ years in agentic AI development, and will collaborate with engineering and data teams to optimize agent behavior through rigorous testing and