Senior AI Systems Engineer

Overview:

Best Version Media was founded in 2007 and now serves over 1,300 communities across the U.S. and Canada. We connect local businesses to customers with a suite of innovative print and digital solutions. Our print magazines, powered by our advertisers and readers, are tailored to the communities we serve by showcasing local families, nonprofits, events, and more. Our digital advertising works with our print campaigns to build brand awareness and help businesses expand their online reach with local customers. We also offer convenient tools to help businesses manage their online presence and enhance searchability.

Our vision is to unite the hearts and minds of communities – one person, one home, one business at a time. We value family, teamwork, and an open exchange of ideas as we strive to become the best versions of ourselves. Our award-winning culture has been recognized countless times by organizations like Fortune, Glassdoor, Great Place to Work, and more.

Job Summary:

Ready to turn bold product concepts into production-grade AI systems?

BVM Digital is looking for a Senior AI Systems Engineer to build AI-powered products, automated workflows, and integrations across our digital platforms. As the first engineer embedded directly in Product, you will work alongside product managers to rapidly develop new applications and take them into production.

Our Product team uses tools like Claude Code, Codex, and Figma Make to prototype new capabilities, and you will bridge rapid AI-assisted development with the disciplined engineering practices required for reliable, maintainable software.

Key Responsibilities:

• Architect AI Applications & Workflows: Architect and build AI-powered applications, agentic workflows, and automated business processes, developing orchestration systems that involve LLMs, tool calling, external APIs, state management, and human review.
• Turn Prototypes into Production Software: Rapidly build and iterate on product concepts using modern AI coding tools, converting those prototypes into secure, maintainable production applications.
• Build Full-Stack Services & Integrations: Design and implement integrations between new products, existing engineering systems, databases, and third-party platforms, while developing backend services, APIs, and supporting frontend applications as needed.
• Establish Engineering Standards: Define sound architectural patterns, coding standards, testing practices, and documentation.
• Implement AI Reliability & Monitoring: Build AI workflow monitoring, output validation, error handling, and recovery processes.
• Own End-to-End Delivery: Own technical delivery from initial design through deployment and ongoing maintenance, collaborating directly with Product and central Engineering to ensure new systems fit within our existing technical architecture.

Skills & Requirements

• Engineering & Architecture: 8+ years of full-stack and backend engineering experience, with strong knowledge of software architecture, API design, data modeling, system integrations, and code maintainability.
• AI & Agentic Systems: Demonstrated experience building LLM-powered applications, including agent orchestration, multi-step workflows, tool/function calling, and structured outputs.
• Core Tech Stack: Hands-on experience with JavaScript/TypeScript, Node.js, AWS, and modern databases (React, MongoDB, or Symfony is beneficial).
• AI-Assisted Coding & Rigor: Experience using AI coding tools like Claude Code, Codex, or Cursor, paired with the ability to evaluate AI-generated code, spot architectural issues, and apply sound engineering practices.
• Autonomy & Integration: Experience integrating new applications into existing production systems alongside established engineering teams, with the autonomy to own technical decisions with limited oversight.

What Will Make You Stand Out

• Proven Product Portfolio: A GitHub or portfolio detailing your primary/sole technical contributions to shipped products, backed by experience taking AI products from prototype to production.
• Foundational Product Role: Prior experience as a foundational engineer owning architecture and hands-on development within a product organization.
• Orchestration & RAG: Hands-on experience with LangGraph, Temporal, MCP, or custom orchestration systems, as well as RAG, embeddings, vector search, and multimodal AI.
• Production AI Ops & Integrations: Experience building agentic workflows for third-party APIs and business systems, plus developing AI evaluation, monitoring, and cost optimization processes.
• Autonomous Agents & PHP: Experience building rapidly with AI-assisted development and autonomous coding agents, alongside familiarity with Symfony or modern PHP frameworks.