About the Role
This role involves developing and maintaining AI-powered features within a mission-critical enterprise environment. The engineer will collaborate with cross-functional teams to deliver reliable, secure, and high-performing software used by public sector agencies.
Responsibilities
- Design and implement core AI functionalities within large-scale software systems
- Collaborate with data scientists to integrate machine learning models into production environments
- Optimize system performance for low-latency and high-availability requirements
- Write clean, maintainable, and well-tested code across the stack
- Contribute to architectural decisions for AI-related services
- Troubleshoot and resolve production issues related to AI components
- Work closely with product teams to define technical requirements
- Ensure compliance with security and data privacy standards
- Participate in code reviews and technical design discussions
- Mentor junior engineers on best practices in software development
- Support deployment and monitoring of AI services
- Evaluate new technologies and frameworks relevant to AI infrastructure
- Improve developer tooling and CI/CD pipelines
- Drive reliability and scalability of distributed systems
- Maintain documentation for AI system components
Nice to Have
- Master’s degree in a technical discipline
- Experience with public safety or government software systems
- Background in natural language processing or computer vision
- Contributions to open-source AI projects
- Knowledge of MLOps practices and tools
- Familiarity with Kubernetes and service orchestration
- Experience with large relational databases
- Prior work in high-compliance regulatory environments
Compensation
Competitive salary and equity package commensurate with experience
Work Arrangement
Hybrid work model with office presence in select locations
Team
Part of a cross-functional engineering team focused on AI innovation within a mission-critical software platform
Why This Role Matters
The systems developed in this role directly support public safety agencies in making faster, data-informed decisions. Engineers contribute to software used daily by first responders and law enforcement, where reliability and accuracy are critical. This position offers the chance to work on AI applications with tangible societal impact.
Growth and Development
Engineers are encouraged to lead technical initiatives, present at internal tech talks, and pursue learning opportunities. Career paths support both individual contributor and leadership tracks, with regular feedback and development planning built into the culture.
Technology Stack
The platform leverages modern cloud infrastructure, microservices architecture, and scalable data pipelines. AI components are built using Python, TensorFlow, and related frameworks, integrated within a service-oriented backend using Java and Go. Frontend systems use React and TypeScript.
Available for qualified candidates requiring sponsorship
