AI - Enabled Software Engineer

Job not on LinkedIn

July 31

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+32 more states

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Mark43

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Artificial Intelligence • Government • Cybersecurity

Mark43 is the trusted leader in public safety technology, providing a secure, all-in-one platform for agencies to save time, stay compliant, and ensure community safety. Through innovative AI-powered tools and a modern cloud-native infrastructure, Mark43 empowers public safety agencies to enhance their operational efficiency, conduct instant reporting, and share real-time data. Designed specifically for first responders, Mark43 supports law enforcement and other public safety agencies in their mission to serve and protect communities.

201 - 500 employees

Founded 2012

🤖 Artificial Intelligence

🏛️ Government

🔒 Cybersecurity

📋 Description

• Design multi-agent systems with coding-focused agents (e.g., code writer, reviewer, tester, deployer) • Write the prompts, logic, and scaffolding that guide each agent’s behavior • Handle tool use, like enabling agents to access the file system, test runners, version control, and internal APIs • Evaluate and refine agents’ output, performance, collaboration patterns, and feedback loops • If you were on the team last week, you might have: • Prototyped a new coding assistant workflow using open-source LLMs and internal knowledge bases • Led an architecture discussion on agentic build pipelines or automated PR generation • Collaborated with a cross-functional team to build a fast, AI-powered interface for internal tooling • Helped define the evaluation framework for AI contributions—accuracy, speed, and impact • Mentored a teammate on combining TypeScript and AI tools to accelerate UI prototyping • Explored best practices for safely and securely integrating generative AI into a public sector codebase • Participated in our on call rotation

🎯 Requirements

• 5+ years of professional software engineering experience • Proficiency with at least part of our stack: Java, TypeScript + React, and MySQL • Extensive applied experience with AI-assisted development tooling—whether it’s Cursor, Windsurf, LLM APIs, codegen platforms, vector databases, agentic frameworks like LangChain, or custom-built systems • A strong product mindset and interest in building for real-world impact • A bias toward experimentation, iteration, and continuous learning • Comfort operating in ambiguity and helping define best practices in a rapidly evolving space