Artech LLC

Agentic AI Application Engineer

Austin, Texas, US

Role snapshot

Artech LLC is hiring a Agentic AI Application Engineer on a full-time basis. This is an on-site role based in Austin, Texas, US.

Company
Artech LLC
Location
Austin, Texas, US
Work mode
On-site
Job type
Full-time
Posted
Nov 6, 2026

Who this role suits

The listing does not state a required experience level here. Read the requirements in the description below and apply if they match your background.

How to prepare your application

  • Match your résumé to the requirements in the description, using the same wording where it is honest to do so.
  • Prepare a short example for each requirement you meet, and be ready to explain any you only partly meet.
  • Read what Artech LLC publishes about its product or team, so you can say clearly why this role and this company.

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About the role

Job Description

Job Description

Title: Agentic AI Application Engineer
Location: Austin, TX - onsite (3 Days in week)
Duration: 9 Months
Work hours: Should be willing to work in PT Time zone

Job Description
Must Have:
Agentic AI, mcp, python, devops etc.
" 5 Design, develop, test, and maintain Python-based applications, APIs, microservices, and automation frameworks.
" Build scalable solutions using AWS services, including EKS, and related services.
" Design and implement Agentic AI applications using Anthropic Claude.
" Develop AI agents capable of reasoning, tool invocation, workflow execution, and interaction with enterprise systems.
" Build multi-agent workflows, orchestration patterns, and human-in-the-loop processes.
" Integrate Claude with enterprise applications through REST APIs, tool/function calling, and Model Context Protocol (MCP).
" Apply effective prompt engineering, context engineering, structured outputs, and agent memory/state management techniques.
" Use Claude Code or equivalent AI-assisted development tooling to accelerate development, testing, documentation, and code analysis.
" Design and maintain CI/CD pipelines for automated build, test, security validation, and deployment.
" Implement appropriate logging, observability, error handling, security, and monitoring for production applications.
" Troubleshoot production issues and continuously improve application reliability, performance, and maintainability.