AI Mobile Engineer Job Dallas area,Texas USA,Software Development

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

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 work forces.
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…