Sr. AI Mobile Engineer

Position overview

Client is investing in enterprise AI capabilities to accelerate delivery, enable self-service technology, and help teams solve meaningful business problems faster. Tulip is a strategic AI platform that provides reusable patterns, tools, and services to make AI-enabled solution delivery easier, safer, and more scalable across the organization. Increasingly, Tulip reaches the business through mobile experiences used by shop crews, field leaders, and operators who are rarely at a desk.

The Senior AI Mobile Engineer - Tulip Platform is a hands-on role responsible for designing, building, and shipping the mobile and field-facing experiences that sit on top of Tulip. The focus is user experience and workflow automation: turning manual, paper-based, and desktop-bound processes into fast, intuitive mobile workflows, and integrating Tulip's AI services into the apps and devices field teams use every day. The role also contributes to platform architecture, integration patterns, and engineering standards, and mentors peers through design discussion and code review.

The ideal candidate is a pragmatic builder and strong technical partner who obsesses over the end-user experience, designs for real shop and field conditions including intermittent connectivity and one-handed use, navigates ambiguity, and consistently delivers high-quality, AI-enabled mobile solutions aligned to business priorities.

Job Qualifications

• 8+ years of professional software engineering experience, including significant hands-on experience building and shipping production mobile applications (iOS, Android, or cross-platform such as React Native or Flutter).
• Demonstrated focus on user experience: partnering with design, prototyping and testing with real users, and shipping interfaces that are fast, accessible, and intuitive for non-technical frontline staff.
• Experience automating manual and paper-based workflows into mobile-first digital processes, including offline-first data capture, sync and conflict resolution, push notifications, camera and barcode scanning, and location-aware features.
• Experience integrating AI-enabled services into end-user applications, including large language models, retrieval-augmented generation, agent or workflow orchestration, conversational and voice interfaces, and responsible AI guardrails at the point of use.
• Strong API and integration skills: consuming and shaping REST, GraphQL, and event-driven services, and working with backend and platform engineers to make mobile clients performant and resilient.
• Experience with mobile release and quality practices: app store and enterprise distribution, MDM-managed devices, CI/CD for mobile builds, crash and performance monitoring, automated UI testing, and phased rollouts.
• Working proficiency in Python or a comparable backend language, with enough platform and cloud fluency (Azure, AWS, or GCP; containers; CI/CD; observability) to extend Tulip services where the mobile experience requires it.
• Experience securing mobile and enterprise integrations, including OAuth 2.0 and OpenID Connect, SSO on shared and personal devices, on-device data protection, and secrets management.
• Strong communication skills, with the ability to work directly with field and operations teams to observe how work actually gets done and translate that into technical designs and executable engineering work.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred, or equivalent practical experience.

Preferred Qualifications

• Experience building mobile or frontline applications for retail, restaurant, field service, logistics, or other deskless workforces.
• Experience with design systems, accessibility standards, usability testing, and instrumenting product analytics to measure adoption and task completion.
• Familiarity with Azure AI, Azure OpenAI, Microsoft Fabric, vector search, prompt orchestration, or agentic AI frameworks, and with enterprise AI governance and responsible AI controls.
• Experience integrating mobile experiences with enterprise systems such as POS, scheduling, inventory, learning, ticketing, or identity platforms.
• Experience working in retail, restaurant, ecommerce, loyalty, finance, supply chain, or high-volume enterprise environments.
• Experience partnering with product managers, designers, business analysts, forward deployed engineers, and enterprise architects to move ideas from field discovery to delivery.

Skills

• Mobile application engineering (iOS, Android, or cross-platform) and hands-on delivery
• User experience design partnership, prototyping, usability testing, and accessibility
• Workflow automation and digitization of manual, paper-based, and field processes
• Offline-first design, device capabilities, push notifications, and mobile performance tuning
• API, integration, and eventing patterns across enterprise and AI services
• LLM, RAG, agentic workflows, and AI evaluation applied to end-user experiences
• Python, SQL, cloud-native engineering, and secure service design
• Mobile CI/CD, release management, crash and performance monitoring, and automated testing
• Field discovery, stakeholder communication, and translating operational needs into product
• Peer mentorship, engineering standards, design reviews, and code quality

Shop Technology:

Preferred experience supporting mobile applications in shared-device or frontline retail environments, including Jamf-managed Apple devices, intermittent connectivity, production monitoring, and integration with POS, workforce, identity, and other shop technology platforms.

Key Result Areas (KRAs)

• These KRAs describe the primary outcomes expected from this role and how success will be evaluated.
• Mobile Experience and Product Delivery
• Design, build, and ship mobile experiences on Tulip that field and shop teams find fast, intuitive, and worth using every shift.
• Example Measures: Adoption and active usage, task completion time, app quality ratings, crash-free sessions
• Workflow Automation in the Field
• Replace manual, paper-based, and desktop-bound steps with automated mobile workflows, using AI capabilities such as orchestration, RAG, agents, and conversational interfaces where they add real value.
• Example Measures: Processes automated, hours returned to field teams, error and rework reduction
• Integration and Platform Contribution
• Integrate mobile experiences with Tulip services and enterprise systems, and extend platform capabilities where the experience requires it.
• Example Measures: Integration reliability, reusable client patterns, delivery predictability
• Engineering Excellence
• Apply and improve practices for secure, maintainable, testable, and observable mobile and service engineering, including release management and phased rollouts.
• Example Measures: Code quality, test coverage, release stability, defect reduction
• Engineering Practices and Knowledge Sharing
• Contribute to documentation, design reviews, and shared UI and integration patterns that strengthen how the team builds mobile AI solutions.
• Example Measures: Improved team clarity, stronger handoffs, repeatable delivery practices
• Business Alignment and Value Realization
• Spend time in shops and with field leaders, translate what you observe into product decisions, and tie delivered experiences to measurable business value.
• Example Measures: Field feedback loops, stakeholder alignment, business impact tracking