Retail Software Engineer

This role will lead the development of AI-powered mobile experiences for the retail industry. You will partner with the product owner, subject matter experts, and customers to translate requirements into working software. Combine hands-on expertise in AI applications, agent harnesses, model inference, and Android development to create a reliable, scalable commercial product.

• →Lead software development from initial concept and prototypes through production readiness. Contribute directly to implementation across Android applications, backend services, and AI agents.
• →Work with the product owner, subject matter experts, and customers to understand requirements, define acceptance criteria, assess technical trade-offs, and establish development priorities.
• →Collaborate with forward-deployed engineers and customer IT to gather feedback, validate features, troubleshoot integration issues, and develop fixes. Incorporate findings into ongoing development.
• →Build and maintain agent harnesses that connect AI models with context, tools, memory, permissions, and workflows. Support multi-step execution, task interruptions, recovery, and human approvals.
• →Select, integrate, and evaluate AI models for reasoning, tool use, and vision. Optimize inference quality, latency, reliability, and cost across cloud and edge environments.
• →Develop Android applications for retail handhelds and tablets, including adaptive interfaces, voice, camera, scanning, and payments. Connect applications securely to enterprise systems through APIs, events, and adapters.
• →Establish engineering practices for AI-assisted coding, code review, automated testing, security, continuous integration, and releases. Ensure generated code is verified, and the software can be monitored and supported.
• →Mentor engineers, review designs and code, and lead technical issue resolution. Turn recurring customer requirements into reusable capabilities that support a maintainable, scalable commercial product.

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 8+ years of software engineering experience, including technical leadership and hands-on development of new products from concept through production.
• Demonstrated experience building AI applications using large language models, agent frameworks or harnesses, tool calling, retrieval, inference, and evaluation.
• Strong experience developing Android applications and integrating mobile software with backend services, enterprise systems, and device capabilities.
• Experience working with customers, customer IT, or customer-facing engineers to develop features and resolve technical issues. Practical use of AI-assisted development tools is required; retail technology experience is preferred.

• Strong understanding of AI application architecture and how models, agent harnesses, context, retrieval, memory, and tools work together to complete tasks.
• Practical knowledge of model selection and inference trade-offs, including accuracy, latency, throughput, cost, privacy, and cloud versus on-device execution.
• Strong Android skills, preferably Kotlin and Jetpack Compose, including context-aware interfaces, device APIs, intermittent connectivity, and workflow interruption and recovery.
• Strong mobile and backend engineering skills, including APIs, distributed systems, and enterprise integration that preserves existing business rules and transaction integrity.
• Proficiency with AI-assisted coding and agentic development tools, including preparing context, breaking down tasks, reviewing generated code, debugging, and verifying results.
• Ability to translate customer specifications into technical designs and acceptance tests, diagnose failures, and evaluate AI workflows against realistic tasks and measurable outcomes.
• Knowledge of secure software development, authentication, authorization, data privacy, audit logging, automated testing, continuous integration, and release management.
• Clear communication, strong technical judgment, and effective mentoring skills. Ability to manage evolving requirements and work across teams while balancing customer needs with long-term product maintainability.

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