AI - Enabled Software Engineer
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About the Role
Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift.
Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Senior Software Engineer – AI-Enabled Engineering
Mark43’s mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which our first responders rely. Our users are diverse, and we are therefore committed to embracing diversity of thought and experience within our team.
Our platform is already trusted by major public safety agencies across North America—including Boston, D.C., Seattle, and the California Highway Patrol—and we’ve recently expanded into the UK with our first customer overseas.
Now, we’re entering an exciting new chapter: Mark43 is building a next-generation AI-augmented engineering team. This is a foundational opportunity to help rethink how software is designed, developed, and delivered using intelligent agentic or related tools.
What You’ll Do
We’re looking for a Senior Software Engineer to help lead our AI-enabled engineering initiative. You’ll work at the frontier of AI and software development, experimenting with agentic workflows and shaping how AI tools are integrated into every layer of our engineering stack.
This isn’t just about using AI to autocomplete code—it’s about designing and orchestrating systems of AI agents that can plan, write, review, test, and deploy software collaboratively. In essence, you’ll play a role akin to a tech lead for a team of intelligent coding agents.
You will:
- 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:
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