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65 Photon Software Quality Automation Engineer Jobs Hiring Near You

Photon

Full Stack Developer - Advanced

Columbus, OH · On-site

Implement CI/CD pipelines and follow modern DevOps and software engineering practices. * Perform testing, debugging, performance optimization, and production support. * Collaborate with architects ...

Garmin Ltd.

Quality Automation Engineer 2

Yarmouth, ME · On-site

$70 - $90/hr

Overview We are seeking a full‑time Quality Automation Engineer 2 in either our Yarmouth, ME or ... Demonstrate the role of quality assurance in each phase of the Software Development Life Cycle and ...

Garmin Ltd.

Quality Automation Engineer 2

Cary, NC · On-site

$90 - $120/hr

Overview We are seeking a full-time Quality Automation Engineer 2 in our Cary, NC office. In this ... Demonstrate the role of quality assurance in each phase of the Software Development Life Cycle and ...

Fox

Quality Automation Engineer

New York, NY

Working at the intersection of Quality Engineering and Software Engineering, you will develop intelligent test automation, integrate quality into CI/CD pipelines, and create automation that ...

BravoTech

Data Quality Automation Engineer

Dallas, TX · On-site

Data Quality Automation Engineer Location: Hybrid About the Role We are seeking a Data Quality ... Identify, document, and track software defects through resolution. * Analyze test failures, review ...

Frost Bank

Quality Automation Engineer III

Austin, TX · On-site

Expert knowledge of the role of Test Automation and Software Quality Assurance in the development ... Knowledge of DevOps including Jenkins, Maven etc. * Knowledge of Non-Functional Testing ...

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What makes Photon an attractive place to work?

Photon is a leading company in the field of [industry/field], recognized for its commitment to innovation and excellence. The company's workplace is characterized by a culture of collaboration, where employees are encouraged to share ideas and work together to drive progress, as well as a focus on employee well-being and professional development. Joining Photon offers opportunities for individuals to contribute to cutting-edge projects, develop their skills, and grow their careers in a dynamic and supportive environment.

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Infographic showing various Software Quality Automation Engineer job openings at Photon in the United States as of August 2026, with employment types broken down into 1% Internship, and 99% Full Time. Highlights an 98% Physical, and 2% Remote job distribution.

Software Engineer IOS/Android - Advanced

Photon

Columbus, OH • On-site

Other

Posted 4 days ago

Job description

Job Title: Software Engineer IOS/Android - Advanced
Location: Columbus OH
Job Description:
  • We are looking for an Advanced iOS/Android Developer Agentic AI Field Delivery Engineer (FDE) who can design, develop, integrate, and deploy intelligent mobile experiences powered by Generative AI and Agentic AI.
  • The ideal candidate will have strong hands-on expertise in iOS and/or Android application development, combined with experience integrating AI/LLM capabilities into mobile applications. The role will involve working closely with client stakeholders, solution architects, AI engineers, and product teams to build production-ready agentic mobile experiences.
Key Responsibilities:
  • Design and develop high-quality iOS and/or Android applications using modern mobile development frameworks.
  • Build mobile experiences that integrate Generative AI, LLMs, AI agents, and agentic workflows.
  • Integrate mobile applications with REST APIs, GraphQL, microservices, AI services, and enterprise platforms.
  • Implement AI-powered capabilities such as conversational interfaces, intelligent recommendations, task automation, and agent-driven workflows.
  • Integrate applications with LLM/AI platforms such as OpenAI, Google Gemini, AWS Bedrock, Azure AI, or equivalent services.
  • Work with agentic frameworks and SDKs to enable mobile applications to interact with AI agents and enterprise tools.
  • Develop secure authentication and authorization flows, API integrations, session management, and data handling.
  • Collaborate with AI/ML engineers to consume models, agents, APIs, and orchestration services from mobile applications.
  • Translate client requirements into scalable technical solutions and working prototypes.
  • Participate in client discussions, technical workshops, architecture sessions, and solution demonstrations.
  • Troubleshoot and optimize application performance, API latency, AI response handling, memory usage, and mobile reliability.
  • Implement robust error handling, observability, logging, analytics, and monitoring for AI-powered mobile experiences.
  • Ensure applications follow mobile security, privacy, accessibility, and enterprise development standards.
  • Work in an FDE-style role, rapidly understanding client problems, building proof-of-concepts, iterating based on feedback, and taking solutions toward production.
Required Technical Skills Mobile Development:
  • Advanced iOS: Swift, SwiftUI/UIKit, Xcode, iOS SDK, REST API integration, asynchronous programming.
  • Advanced Android: Kotlin/Java, Jetpack Compose/Android SDK, Android Studio, REST API integration, asynchronous programming.
  • Strong understanding of mobile application architecture, including MVVM, Clean Architecture, dependency injection, state management, and modularization.
  • Experience with mobile CI/CD, testing, debugging, profiling, and app deployment.
AI / Agentic AI:
  • Strong understanding of Generative AI, LLMs, AI agents, prompt engineering, and agentic workflows.
  • Experience integrating LLM capabilities into mobile or enterprise applications.
  • Familiarity with agent orchestration, tool/function calling, RAG, context management, memory, and multi-step agent workflows.
  • Exposure to one or more AI platforms such as:
    • OpenAI
    • Google Gemini / Vertex AI
    • AWS Bedrock
    • Microsoft Azure AI
    • Experience working with AI/agent SDKs or frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ADK, or similar is preferred.
APIs & Cloud:
  • Strong experience with REST APIs, JSON, OAuth 2.0, JWT, WebSockets, and API integration patterns.
  • Understanding of microservices and cloud-based architectures.
  • Exposure to AWS, Azure, or Google Cloud Platform.
  • Experience integrating mobile applications with enterprise backend services and third-party APIs.
Security:
  • Understanding of mobile application security best practices.
  • Experience with authentication, authorization, OAuth/OIDC, secure API communication, encryption, and secure storage.
  • Awareness of enterprise security, privacy, and data protection requirements.
FDE / Client-Facing Skills:
  • Strong ability to work directly with enterprise clients and technical stakeholders.
  • Ability to understand ambiguous business problems and convert them into technical solutions.
  • Strong prototyping and rapid development mindset.
  • Ability to conduct technical demos and explain complex mobile/AI concepts to both technical and non-technical stakeholders.
  • Strong debugging and problem-solving skills.
  • Comfortable working in a fast-paced environment with evolving AI technologies.
  • Excellent written and verbal communication skills.
  • Ability to collaborate across Product, Engineering, AI/ML, Architecture, Security, and Client teams.
Preferred Qualifications:
  • 6+ years of overall mobile development experience with strong expertise in iOS and/or Android.
  • 1+ years of hands-on experience with Generative AI / Agentic AI integrations.
  • Experience delivering AI-powered mobile applications in an enterprise environment.
  • Experience with financial services, healthcare, retail, or other highly regulated industries is a plus.
  • Experience with mobile analytics, observability, and production monitoring.
  • Experience working in consulting, professional services, or an FDE/customer-facing engineering environment is highly preferred.
Key Competencies:
  • Mobile Engineering | iOS | Android | Swift | Kotlin | SwiftUI | Jetpack Compose | Generative AI | Agentic AI | LLM Integration | AI Agents | RAG | Tool Calling | API Integration | Cloud | Enterprise Security | Rapid Prototyping | Client Engagement | Technical Problem Solving

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