AI Mobile Engineer

Who are we?

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. Our current focus and innovation in Digital Hyper expansion TM offers nearly limitless opportunities for career growth.

For a brief 1-minute video about us, you can check out https://youtu.be/uJWBWQZEA6o.

Photon is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other

We are looking for a AI Mobile Engineer to join our team:

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

Ways of Working

This role is a hands-on individual contributor with no people management responsibility. The Senior AI Mobile Engineer ships user-facing experiences, contributes to technical decisions, supports roadmap execution through their own delivery, mentors less experienced engineers, and models practices that improve quality, velocity, and consistency.

Success requires deep technical execution paired with genuine curiosity about how field teams work, and clear communication across product, design, architecture, engineering, and business partners.