• Write production-level code in Java (with AI tools) • Prompt engineering and testing with LLMs, including Claude, Gemini, and OpenAI models • Context engineering to determine the right data • Agentic workflow design • Help us build systems to easily monitor and test LLM performance • Design and implement solutions for scale and maintainability across multiple clients • Contribute as a thought leader to conversations around LLM usage

• Temporal workflows that orchestrate multi-step AI operations • Backend services in Clojure that integrate with LLM APIs • Data models and PostgreSQL schemas that support complex enrichment pipelines • RAG pipelines using Qdrant for semantic search • APIs and data pipelines that deliver enriched catalogs to retailer PDPs

• Temporal workflows that orchestrate multi-step AI operations: product attribution, laydown image generation, outfit creation, and outfit copy generation • Backend services in Clojure that integrate with LLM APIs (GPT, Gemini, etc.), manage context and prompts, handle streaming responses, and process structured outputs • Data models and PostgreSQL schemas that support complex AI workflows, vector embeddings, and integration with our existing product catalog • RAG pipelines using Qdrant for semantic search, similarity matching, and context retrieval that powers smarter AI recommendations • ClojureScript UIs for review workflows where humans validate, edit, and improve AI-generated content • APIs and data pipelines that connect everything together, monitoring systems that track AI quality, and the infrastructure that lets us ship fast

• Define and evolve robust backend architecture using C#/.NET and Microsoft Azure, tailored for high-security, cloud-native applications. • Provide hands-on technical leadership, setting standards for code quality, performance, and security across the development team. • Champion modern software delivery practices including CI/CD, structured release cycles, and DevOps automation. • Implement architectural best practices to ensure low maintenance overhead, high performance, and scalability. • Conduct architecture and code reviews, mentoring engineers on design principles, cloud security, and system resilience. • Collaborate with product managers, product owner and external specialists to align technology with business and security goals. • Design, develop, and maintain cloud-native backend services using C#/.NET. • Build and optimize serverless applications using Azure Functions, Logic Apps, and other Azure-native components. • Architect scalable and secure data models using Cosmos DB and other Azure storage solutions. • Develop and maintain internal NuGet packages to support modular and reusable development practices. • Ensure application security and compliance with industry standards (e.g., OWASP, SOC 2, STAR, Privacy by Design). • Lead deployment strategies and infrastructure automation using Azure DevOps Pipelines. • Monitor and optimize cloud performance, cost efficiency, and security posture. • Maintain system observability, logging, and performance monitoring across distributed services. • Work closely with cross-functional teams including QA, product management, and external partners. • Evaluate and introduce new tools, frameworks, and cloud patterns to improve developer productivity and system reliability. • Foster a culture of technical ownership, innovation, and continuous improvement. • Promote agile methodologies and modern engineering practices across the team.