What are the responsibilities and job description for the Applications Engineer position at Spectra Force?
Title: Android Applications Engineer Location: Holtsville, NY Duration: 6 month (possible extension) Job Description: Responsibilities Develop and maintain Android applications (Kotlin/Java) for template authoring and frontline data extraction Integrate and migrate computer vision, OCR, and barcode decoding capabilities using Clients's AI/vision SDKs Refactor a prototype codebase into a modular, maintainable architecture (multi-module Gradle project with clean SDK abstraction layers) Build automated test harnesses and benchmarking tools to validate recognition accuracy, matching performance, and regression behavior across SDK versions Implement template management features: zone/field definition UI, auto-detection of text and barcode elements, template profiles, and conflict detection Prototype and evaluate approaches to challenging extraction problems, such as vendor-specific field naming variations and barcode-vs-OCR trade-offs Contribute to on-device performance profiling (latency, memory) for real-time and single-shot capture workflows Document code, integration interfaces, and test results for internal engineering consumption Required Qualifications 5 years of professional software engineering experience Strong Android application development skills (Kotlin and/or Java), including camera APIs, multi-module project structure, and modern Android tooling Working knowledge of computer vision and OCR concepts: image preprocessing, feature/template matching, text detection and recognition, barcode symbologies Experience integrating third-party or platform AI/ML SDKs into mobile applications Familiarity with modern AI tools and the ability to apply them pragmatically in engineering workflows (e.g., AI-assisted development, LLM-based post-processing of extracted data) Solid software engineering fundamentals: Git, code review, unit/integration testing, CI concepts Strong problem-solving skills and demonstrated ability to work independently on loosely defined problems Preferred Qualifications Experience with on-device ML inference on Android (e.g., TensorFlow Lite, Qualcomm AI stack, NPU/DSP acceleration) Background in enterprise mobility, data capture, warehouse/logistics, or scanning solutions Experience with OpenCV or similar vision libraries Experience building developer-facing samples, blueprints, or reference applications Familiarity with structured data formats and schema design (JSON), and with device provisioning via MDM
Salary : $65 - $70