AI Full Stack Developer

Responsibilities

• HOW YOU'LL DO IT:
• AI INFRASTRUCTURE & CLOUD ARCHITECTURE
• GCP Environments: Design and maintain a dedicated GCP sandbox for rapid prototyping (Vertex AI / Gemini Enterprise) alongside a secure, governed production environment.
• Infrastructure as Code: Implement Terraform across all cloud projects to ensure reproducible, version-controlled, and auditable provisioning.
• Cloud Architecture: Design scalable patterns for internal tool deployment, including containerized services, managed APIs, and serverless compute.
• Establish and maintain environment-level guardrails, access controls, and cost governance policies across both the sandbox and production GCP projects.
• FULL STACK AI & LLM ENGINEERING
• Application Development: Build full-stack internal applications from concept to production, owning both backend logic and model integration across Claude Enterprise and Gemini Enterprise platforms.
• LLM Frameworks: Construct advanced automation solutions and internal agents using orchestration frameworks like LangChain and LangGraph.
• Data & RAG Architecture: Partner with the Data Engineer to build RAG pipelines, vector data stores, and a governed semantic layer over Google BigQuery.
• Develop and maintain APIs, backend services, and frontend interfaces that surface AI capabilities to BRUNT employees in intuitive, production-grade internal tools.
• Implement prompt engineering, evaluation, and optimization practices that ensure AI outputs are accurate, consistent, and aligned with BRUNT's business requirements and brand standards.
• Core Integrations: Connect internal AI applications to data streams from critical operational platforms, including Shopify, NetSuite, and Deposco.
• GOVERNANCE & LIFECYCLE MANAGEMENT
• AI Council Collaboration: Serve as a technical voice on BRUNT's AI Council to help evaluate use cases, guide governance, and define approval criteria.
• Deployment Pipelines: Establish the technical framework, testing standards, and rollback protocols for transitioning experimental workloads into production.
• Ensure that all AI solutions in production meet BRUNT's standards for security, data privacy, responsible AI use, and operational reliability.
• Monitoring & Documentation: Track deployed solutions for performance and accuracy, maintaining clear documentation of prompt libraries, model configurations, and codebases.
• BUSINESS ENABLEMENT & SPRINT EXECUTION
• Cross-Functional Workshops: Partner directly with business teams to discover operational pain points and scope high-value AI solutions.
• Serve as BRUNT's internal AI expert and first point of contact for employees who want to understand how AI tools can suppor

Benefits

Additional Information

We're leading the way in redefining the workwear category. Our mission is to engineer better boots and apparel for our country's tradesmen and women by working directly with real workers to learn what they actually need to execute their jobs. The BRUNT team is not only devoted to improving on the old workwear standards, but we're also creating a community that tradesmen and women can call their own. From our weekly hangouts at the BRUNT Garage, to hosting events across the country, we're all about getting boots on the ground and building something real with the BRUNT crew.

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