What are the responsibilities and job description for the Software Engineer iOS/Android – Advanced ( Only C2C) position at PeopleNTech?
Job Title: Software Engineer iOS/Android – Advanced
Location: Columbus, OH
Duration: Long Term
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