Software Engineer – iOS/Android – Advanced | Agentic AI
Listed on 2026-08-30
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Software Development
AI Engineer (Applied/Software), Full Stack Developer, App Developer - Mobile/Web, Backend Developer
Software Engineer – iOS/Android – Advanced | Agentic AI
Location: Columbus, OH
Pay Rate: $50/hr on W2
Experience: 10+ years
Work Authorization: USC, GC, GC EAD, H4 EAD
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 or enterprise applications. This role will work closely with client stakeholders, solution architects, AI engineers, and product teams to build production‑ready agentic mobile experiences.
Design and develop high-quality iOS and/or Android applications using modern mobile development frameworks.
Build mobile experiences integrating 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 including conversational interfaces, intelligent recommendations, task automation, and agent-driven workflows.
Integrate applications with AI platforms such as OpenAI, Google Gemini/Vertex AI, 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 environment by rapidly understanding client problems, building proof‑of‑concepts, iterating based on feedback, and taking solutions toward production.
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 application deployment.
Strong understanding of Generative AI, LLMs, AI agents, prompt engineering, and agentic workflows
.Hands‑on 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.
Experience with or exposure to AI platforms such as:
OpenAI
Google Gemini / Vertex AI
AWS Bedrock
Microsoft Azure AI
Experience with AI/agent frameworks such as Lang Chain, Lang Graph, OpenAI Agent SDK, Google ADK
, or similar is preferred.
Strong experience with REST APIs, JSON, OAuth 2.0, JWT, Web Sockets
, and API integration patterns.Understanding of microservices and cloud-based architectures.
Exposure to AWS, Azure, or GCP
.Experience integrating mobile applications with enterprise backend services and third‑party APIs.
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.
Strong ability to work directly with enterprise clients and technical stakeholders.
Ability to understand…
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