Sr. AI Mobile Engineer_Tempe, AZ

Socket.dev

United States

Hybrid

USD 56,000 - 196,000

Full time

4 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401k plan
Paid time off
Paid holidays

Job summary

Tulip is seeking a Senior AI Mobile Engineer to design, build, and ship mobile experiences for frontline teams. You will shape AI-enabled workflows, integrate with enterprise services, and ensure secure, scalable mobile solutions.

You will partner with design, product, and field teams to observe real work patterns and translate them into practical technical designs and end-to-end delivery.

Qualifications

  • 8+ years of software engineering with production mobile apps.
  • UX-focused development with design/testing with real users.
  • Offline-first data capture, sync, and notifications.
  • AI-enabled services integrated into end-user apps.
  • REST/GraphQL/event-driven APIs consumed and shaped.
  • Mobile release, CI/CD, monitoring, and automated testing.
  • Backend cloud fluency (Azure/AWS/GCP) with Python.
  • OAuth2/OpenID Connect and SSO on devices.

Responsibilities

  • Design, build, and ship mobile experiences for field and shop teams.
  • Replace manual processes with AI-enabled mobile workflows.
  • Integrate mobile experiences with Tulip services and enterprise systems.
  • Apply secure, maintainable, and observable engineering practices.
  • Document and share UI and integration patterns, driving consistency.
  • Translate field observations into product decisions with stakeholders.

Skills

Mobile development
UX collaboration
Workflow automation
Offline-first design
API integration
LLM/RAG AI
Python & cloud
Release & QA
Security & auth

Education

Bachelor’s degree in CS/Engineering

Job description

Position overview

Clientis 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.

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
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.

Location Requirement

Location expectations should be confirmed through the People and Talent process. Draft assumption: Tempe, Arizona / hybrid, aligned to current Client's Technology in-office guidance.

Physical Requirements / Work Environment

This position operates in a professional office or remote work environment and routine uses standard office equipment. It also includes periodic time inClient'sshops and other field locations to observe workflows, test mobile experiences in live conditions, and gather user feedback, which may involve standing for extended periods, exposure to typical shop noise and temperatures, and occasional travel. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Compensation, Benefits and Duration

Minimum Compensation: USD 56,000
Maximum Compensation: USD 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.

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