AI Native Senior Software Engineer

Versaterm

About The Position

Versaterm is a high-growth SaaS company building an integrated platform for public safety agencies. AI is central to the company’s product direction, with intelligence being embedded into customer workflows. The AI Native Senior Software Engineer will contribute across the VersatermOS platform and broader product portfolio, combining technical and architectural expertise with AI-native development practices to deliver reliable, secure, scalable, and cost-efficient software. This role owns product work from idea through production and is accountable for the value delivered to customers and the business. It is a hands-on technical leadership position focused on architecting and delivering software, adopting effective AI development practices, mentoring engineers, and shaping team standards. The engineer will collaborate with product managers, designers, customers, and other teams, and will support software in production, including participating in on-call and incident response. The work involves using AI coding agents, spec-driven development, AI-assisted design and code review, automated test generation, and agent workflows in CI/CD while maintaining reliability, security, and quality. The position also requires protecting sensitive information, including CJI and PII, in accordance with the CJIS Security Policy and internal standards. Candidates must pass the required fingerprint-based background check and maintain any required security clearances.

Requirements

A degree in Computer Science, Software Engineering, or a related field, or equivalent industry experience and training.
At least 6 years of professional software development experience.
Advanced hands-on experience delivering software with modern AI development tools and methods, including coding agents, spec-driven development, context engineering, AI-assisted testing, and AI-assisted code review; sound judgment in verifying AI-generated output.
Genuine interest in AI-native development and experience leading a team through adopting new tools and ways of working.
Advanced proficiency in one or more programming languages such as C#, Python, JavaScript, or similar.
Deep understanding of software architecture, design patterns, and SaaS development, including experience designing scalable and distributed systems.
Experience building and operating production systems with high-availability requirements, including monitoring, incident response, and root cause analysis.
Experience with DevOps and CI/CD, including continuous integration, continuous deployment, and tools such as Kubernetes, ArgoCD, and Terraform.
Experience with automated testing, test-driven development (TDD), and testing frameworks.
Understanding of secure development practices, such as OWASP Top 10, threat modeling, and secrets management, and experience applying security controls in software and DevOps processes.
Strong leadership, communication, and collaboration skills, including the ability to work with technical and non-technical stakeholders across functions.
Ability to pass required background and security screening, including the fingerprint-based check required under the FBI CJIS Security Policy.

Nice To Haves

Working knowledge of microservices, SOA, monoliths, REST, RPC, SQL, NoSQL, and related technologies.
Experience building and evaluating AI harnesses, MCP servers, knowledge graphs, multi-agent workflows, and other agentic tooling.
Experience managing cost and token usage across multiple AI models and providers.
Experience establishing evaluations or other methods to measure the quality and impact of AI in the development process.
Experience with real-time media processing algorithms and machine learning for transcription and translation.
Expertise optimizing and fine-tuning large-scale applications for performance, scalability, and high availability.
Previous experience mentoring or coaching associate engineers and fostering a positive, collaborative team culture.
Experience in finance, healthcare, public safety, or government.
Familiarity with public safety and compliance standards such as CJIS, SOC 2, StateRAMP/FedRAMP, or NG911.

Responsibilities

Lead the design and architecture of complex, scalable software solutions that are secure, highly available, fault tolerant, maintainable, and performant.
Own high-impact projects from understanding user problems through design, implementation, deployment, and production support; assess whether delivered work produced its intended value.
Mentor and guide associate engineers, supporting their career development, coding practices, and use of AI tools.
Lead team adoption of AI development tools and approaches; identify effective practices and create shared practices, agent configurations, and examples.
Collaborate with product managers, designers, customers, and other teams to deliver increments of business value and use customer feedback and data to guide future work.
Optimize application performance and scalability; establish service level objectives (SLOs), monitoring, and alerting.
Support production systems, participate in on-call, lead responses to critical issues, and conduct post-incident reviews and follow-up.
Resolve complex technical issues and ensure software meets business requirements through automated test suites, CI/CD quality gates, feature flags, staged rollouts, and rollback practices.
Apply secure coding, threat modeling, dependency scanning, and least-privilege access practices; protect CJI and PII in accordance with the CJIS Security Policy and internal standards.
Review AI-generated code carefully and help establish review, testing, and data-handling practices for safe AI-assisted development.
Stay current with industry trends, tools, and technologies, particularly in AI, and propose improvements to development processes, architecture, and product features.
Participate in daily team collaboration and retrospectives, and help break complex work into achievable increments of value.
Document code, system designs, and technical processes for knowledge sharing and future reference by people and AI agents.
Perform other related duties as assigned to support team and organizational objectives.