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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI-powered mobile applications, particularly for the retail sector, with a strong focus on Android development, AI application architecture, and integration with backend services. Proven ability to lead technical teams, mentor engineers, and translate customer requirements into scalable software solutions.
Highest-signal resume keywords
AI Application DevelopmentAndroid Development (Kotlin, Jetpack Compose)Technical LeadershipAI-Assisted Development ToolsBackend Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAI ModelsMobile Software IntegrationAPIsDistributed SystemsAutomated TestingContinuous IntegrationAcceptance Criteria DefinitionTechnical Trade-Off AssessmentInference Optimization
Soft Skills
Clear CommunicationMentoring SkillsTechnical Judgment
Tools & Technologies
AI AgentsAgent FrameworksCloud EnvironmentsEnterprise SystemsSecurity Practices
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceSoftware Engineering
Industry Keywords
Retail IndustryAI-Powered ExperiencesCustomer-Facing DevelopmentMobile ApplicationsTechnical Issue Resolution
Tech Stack
Tools & technologiesAndroidCloudDistributed SystemsKotlin
About the role
Key responsibilities & impact- Lead development of AI-powered mobile experiences for the retail industry
- Partner with product owners, subject matter experts, and customers to translate requirements into working software
- Lead software development from initial concept and prototypes through production readiness
- Contribute to implementation across Android applications, backend services, and AI agents
- 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
- Build and maintain agent harnesses connecting AI models with context, tools, memory, permissions, and workflows
- 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
- Mentor engineers, review designs and code, and lead technical issue resolution
- Turn recurring customer requirements into reusable capabilities for a maintainable, scalable commercial product
Requirements
What you’ll need- 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
- 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
- Strong understanding of AI application architecture, models, agent harnesses, context, retrieval, memory, and tools
- 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
- Strong mobile and backend engineering skills, including APIs, distributed systems, and enterprise integration
- Proficiency with AI-assisted coding and agentic development tools
- Ability to translate customer specifications into technical designs and acceptance tests, diagnose failures, and evaluate AI workflows
- Knowledge of secure software development, authentication, authorization, data privacy, audit logging, automated testing, continuous integration, and release management
- Clear communication, strong technical judgment, mentoring skills, and ability to manage evolving requirements across teams
Benefits
Comp & perks- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave