AI Full Stack Developer

What you’ll do

As our AI Full Stack Developer, you will be the technical heart of BRUNT’s AI investment, designing, building, and evolving AI solutions that empower BRUNT’s teams to work smarter and move faster. You will own the design and development of a dedicated AI innovation environment in Google Cloud Platform, a sandbox project built for rapid prototyping using Vertex AI, alongside a governed production GCP environment where approved AI solutions are deployed, maintained, and scaled for internal use.

Reporting to the SVP of Technology within the Dev Ops team, you will also shape how AI solutions are evaluated, approved, and governed as part of BRUNT’s AI Council.

You will go beyond code, serving as BRUNT’s internal AI expert and advocate. You will engage directly with business teams across Merchandising, Operations, Retail, Finance, and beyond to workshop ideas, surface and prioritize use‑case opportunities, gather feedback on deployed solutions, and provide guidance and training that enables employees to get real value from AI tools.

• Design and maintain a dedicated GCP sandbox for rapid prototyping (Vertex AI / Gemini Enterprise) alongside a secure, governed production environment.
• Implement Terraform across all cloud projects to ensure reproducible, version‑controlled, and auditable provisioning.
• Design scalable cloud 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.

• Build full‑stack internal applications from concept to production, owning backend logic and model integration across Claude Enterprise and Gemini Enterprise platforms.
• Construct advanced automation solutions and internal agents using orchestration frameworks like Lang Chain and Lang Graph.
• Partner with the Data Engineer to build RAG pipelines, vector data stores, and a governed semantic layer over Google Big Query.
• 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.
• Connect internal AI applications to data streams from critical operational platforms, including Shopify, Net Suite, and Deposco.

• Serve as a technical voice on BRUNT’s AI Council to help evaluate use cases, guide governance, and define approval criteria.
• 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.
• Track deployed solutions for performance and accuracy, maintaining clear documentation of prompt libraries, model configurations, and codebases.

• Partner directly with business teams to discover operational pain points and scope high‑value AI solutions.
• Provide clear, accessible guidance that translates technical capability into practical business value.
• Deliver periodic practical training and enablement sessions to help employees effectively use approved AI tools.
• Work within BRUNT’s Agile sprint framework, managing AI development workload through Jira in 2–4 week cycles.
• Maintain all application and infrastructure code in Git, following established branching, versioning, and documentation standards.

• 6–8 years of full‑stack software development experience, with a substantial focus on deploying production AI/ML systems.
• Hands‑on experience with Google Gemini (Vertex AI) and Anthropic Claude platforms, utilizing advanced orchestration tools like Lang Chain and Lang Graph.
• Proven track record designing and implementing Retrieval Augmented Generation (RAG) architecture, vector data…