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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # App Dev & Support Engineer III - **Company:** Conduent, Inc. - **Location:** Franklin Township, NJ, United States - **Experience:** Expert - **Salary:** $110,690.0 - $160,280.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Code Generation, Program Optimization, Computer Programming, Continuous Integration, Software Debugging, Device Drivers, Fault Tolerance, Fraud Prevention and Detection, Github, Issue Tracking Systems, Interoperability, Python (Programming Language), Knowledge-Based Systems, Log Analysis, Machine Learning, Pattern Recognition, Payment Gateway, PCI Data Security Standards, Performance Tuning, E2e Testing, Tensorflow, RS-232, Serial Communications, Software Engineering, Software Systems, Data Streaming, Systems Integration, Data Logging, Transaction Processing (Computing), Data Processing, Multithreading, Real Time Systems, Pytorch, Delivery Pipeline, Hardware Testing, Generative AI, Core Api, Backend, Scikit Learn, Information Technology, Low Latency, Machine Learning Operations, ISO 8583, Api Design, Restful APIs, Jenkins - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ce35802658abfa34 ## About the Role * Bachelor's degree in Computer Science, Engineering, or equivalent experience * 5+ years of software development experience * Strong proficiency in: * C++ (embedded/system-level programming) * C# (.NET) * Python (AI/automation/data processing) * Experience with serial communication protocols * Strong understanding of REST API development Strong Python skills for: * AI/ML model integration * Data processing and automation * Understanding of latency optimization and real-time constraints Experience with: * Model deployment and inference pipelines * Anomaly detection and classification models * Familiarity with frameworks (preferred): * TensorFlow / PyTorch / Scikit-learn * Experience integrating AI APIs (OpenAI, Azure AI, etc.) Real-Time Processing Skills * Event-driven and streaming architectures * Multithreading and concurrency (C++/C#) * Async programming and performance tuning Preferred Qualifications * Experience in POS, payments, or ticketing systems * Knowledge of payment standards (EMV, ISO 8583) * CI/CD tools (Jenkins, GitHub Actions) * Familiarity with cloud platforms (AWS, Azure) * Key Skills * Strong debugging and troubleshooting across hardware/software boundaries * Real-time system design and optimization * AI-driven development mindset * Strong communication and collaboration * Nice to Have * Embedded systems or IoT experience * Experience with edge AI deployments ## Description We are seeking a highly skilled developer to design and support software for Point of Sale (POS) terminals, focusing on C, C#, Python, serial communication, REST APIs, and AI-driven real-time processing. This role involves building low-latency, highly reliable systems that integrate with payment hardware, backend services, and AI models for intelligent decision-making., Core Development (C++, C#, Python) Develop and maintain applications using: * C; for system-level and device interaction * C# (.NET) for application and API layers * Python for AI integration, automation, and data processing * Build scalable, high-performance POS software systems * Optimize code for low-latency and real-time execution * Debug and resolve complex production issues * Serial Communication & Device Integration Implement and support serial communication (RS232, USB, COM) with: * Payment terminals * Barcode scanners * Receipt printers * Cash drawers * Develop device drivers/interfaces and handle protocol-level communication * Ensure reliable message parsing, retries, and fault tolerance * API Development (RESTful Services) * Design and implement secure, scalable REST APIs * Enable seamless communication between POS devices and backend systems * Implement authentication, encryption, and validation mechanisms * Optimize APIs for real-time transaction processing * AI & Machine Learning Integration * Develop and integrate AI/ML models into POS workflows using Python Implement: * Fraud detection and anomaly detection models * Transaction pattern analysis * Intelligent diagnostics and log analysis * Use Generative AI for: * Automated troubleshooting * Code generation and optimization * Smart documentation and knowledge systems System Integration & Testing * Integrate with payment gateways, ticketing systems, and enterprise platforms * Develop simulation tools for hardware testing * Perform unit, integration, and end-to-end testing * Support field deployments and production troubleshooting Performance, Security & Compliance * Ensure compliance with payment security standards (PCI-DSS awareness)** * Optimize systems for throughput, latency, and reliability * Implement robust logging, monitoring, and observability ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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