Software Engineer 4, AI-Native

Granicus is a company focused on transforming the Govtech industry through innovative technology solutions. The Software Engineer 4, AI-Native role involves directing production workstreams using AI agents, reviewing code rigorously, and ensuring quality in a FedRAMP-authorized environment.

Responsibilities:

• Direct the agent array on production workstreams — decompose problems into tasks suitable for agent execution, dispatch them, and integrate the output into shipped software
• Review agent-generated pull requests at volume and at depth — identify correctness, security, and accessibility defects that automated tests do not catch, while maintaining review throughput and a consistent quality bar
• Author evaluation suites that make quality measurable — define criteria under which the pipeline validates correctness rather than relying on subjective assessment. Eval-driven development is your standard practice
• Own quality end to end — correctness, performance, security posture, and WCAG accessibility of the software your team ships, irrespective of which component or agent produced the initial implementation
• Advance workstreams along the autonomy ladder on the basis of evidence — move work from supervised to autonomous execution when measured reliability supports it, and revert promptly when it does not
• Strengthen the development lifecycle itself — identify where patterns, prompts, or pipeline components degrade at volume and work with the lead architect to remediate them
• Maintain agent operations within the security boundary — branch-only execution, vaulted credentials, sandboxed actions, and in-VPC inference. Throughput does not justify exceptions

Requirements:

• Strong engineering fundamentals. Data structures, systems design, and testing, with the ability to read unfamiliar code quickly and assess it accurately. Agents amplify engineering judgment; they do not substitute for it
• A record of shipping production software you owned the quality of, including responsibility for diagnosis and remediation when it failed
• Hands-on experience directing coding agents on production work, including their failure modes and the practice of reviewing agent-generated code critically rather than approving it by default
• Demonstrated code-review competence. You identify defects that automated tests do not catch, provide actionable feedback, and maintain a high bar without becoming a bottleneck
• High autonomy. You advance work without step-by-step direction and escalate issues proactively
• High-assurance or regulated experience. Shipping within FedRAMP, defense, financial services, healthcare, or another NIST 800-53 / SOC 2 / HIPAA-bound environment
• Depth in evaluation authoring or test-first development within a rigorous engineering culture
• Full-stack range, sufficient to review front-end and back-end agent output with equal confidence
• Public-sector or govtech experience and familiarity with the relevant end users