Senior AI Engineer
On-siteDallas, Texas, United States
Job Summary
Build and ship production software for Enterprise Technology initiatives, including services, APIs, data models, user interfaces, integrations, tests, and operational tooling. Direct AI coding agents by writing clear specs, acceptance criteria, implementation plans, and verification steps. Review and own AI-generated code, tests, pull requests, and migrations for correctness, security, maintainability, and production readiness. Help establish repeatable AI-assisted engineering practices and improve testing, review, observability, and documentation for AI-assisted delivery. Design and implement integration-heavy, data-intensive, and workflow-driven systems while tracking practical delivery metrics such as cycle time, quality, and operational health. Partner with Product, Security, business stakeholders, and Enterprise Technology teams to deliver secure, maintainable software.
Required Qualifications
- 8+ years of experience building and shipping production software as a hands-on engineer, senior IC, technical lead, or Staff-level contributor
- strong production experience with Python and/or TypeScript across backend, frontend, data, API, or cloud-native systems
- hands-on experience using AI coding agents or tools such as Claude Code, Google Antigravity, Codex, Cursor, or similar systems
- strong engineering judgment for reviewing AI-generated code and knowing where human oversight is required
- experience building or integrating services, APIs, relational data stores, event-driven systems, and user-facing workflows
- familiar with cloud-native development, preferably GCP, including CI/CD, monitoring, security scanning, and cost-aware engineering
- understand secure engineering practices, role-based access, SSO, audit logging, and controls for enterprise systems
- able to influence technical decisions, mentor engineers, and raise quality across a significant system or project area
- able to communicate with both engineering and non-engineering stakeholders
- location of Dallas, Texas (on-site Tuesdays, Wednesdays, and Thursdays)
Desired Qualifications
- Experience with enterprise systems, business applications, workflow platforms, data platforms, or internal tools
- Experience with media, streaming, content platforms, or complex business domains
- Experience building developer-facing tools, templates, or internal platforms that help engineers ship software faster and more safely
- Experience with LLM or agent observability tools such as Datadog, LangSmith, Langfuse, or similar systems
- Experience with data migration, compliance-sensitive systems, SOX controls, audit-heavy environments, or complex enterprise integrations
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