constancy, upskilling Programs, STI Services

Description: FoodTurs is a smart technology platform specializing in food safety and digital transformation for food establishments, leveraging AI, IoT, sensors, and cameras to support monitoring, compliance, and operational excellence. We are looking for a Technical Partner (Full-Stack Developer) to join the FoodTurs team — not for a one-off task, but as a long-term contributor who will help build, launch, and scale the platform across Oman and the Gulf region. Category / Tags Full-Stack Development, IoT, AI, Food Safety, Product Development Engagement Type Technical Partner / Equity Member - partnership terms defined after skills & commitment assessment Experience Level Intermediate - with proven hands-on experience building scalable, integrated tech platforms Project Duration Long-term, ongoing — starting with completing the operational version, then launch and expansion Key Responsibilities • Complete the platform's technical architecture; develop the backend and database layer. • Review and improve the existing architecture (early prototypes built on Replit). • Develop and integrate APIs across system components. • Prepare the platform for IoT integration — sensors and cameras. • Contribute to AI and Computer Vision integration. • Elevate security, performance, and scalability to production-ready standards. • Document technical work and participate in long-term product decisions. • Collaborate with the product and operations team. Required Skills • Full-Stack Development (Frontend + Backend) • Database design and management • API Development & Integration • Cloud Systems & Deployment • System Architecture • Authentication & Cybersecurity • Scalable Systems Development • Git / Version Control • IoT experience — connecting sensors and devices to platforms • Ability to understand and extend an existing Replit-based prototype Nice-to-Have • AI and Computer Vision integration — strong advantage • Experience with IoT device management platforms • Background in food safety or food establishment operations Engagement Details • Type: Technical Partner / Equity Co-Founder • Terms: Role, responsibilities & equity share agreed after evaluation • Location: Remote / Freelance (field coordination as needed) • Duration: Long-term, ongoing project

Spring Boot Developer: About the Role We are seeking an experienced Freelance Spring Boot Developer to join our team on a contract basis. The ideal candidate has hands-on experience developing Java-based extensions for ThingsBoard loT platform and a strong command of the Maven build ecosystem. Angular development experience is a plus and may be required for certain assignments. Key Responsibilities . Design, develop, and maintain Spring Boot microservices and RESTful APIs. . Build and extend ThingsBoard platform capabilities through custom Java-based rule engine nodes, transport handlers, and service integrations. . Develop and maintain custom ThingsBoard widgets. . Configure and manage Maven build lifecycles, dependency management, and multi- module project structures. . Write unit and integration tests to ensure code quality and reliability. . Participate in code reviews and contribute to architectural decisions. . Document technical designs, APIs, and integration patterns. . (If applicable) Develop and maintain Angular-based front-end components that integrate with Spring Boot backends and ThingsBoard APIs. FastAPI Backend Developer: About the Role We are seeking an experienced Freelance FastAPI Backend Developer to join our team on a contract basis. The ideal candidate has hands-on experience building Python-based backend services that run on embedded edge devices, interface with physical peripherals, and communicate with other services via Unix Domain Sockets (UDS). A strong command of the Dependency Injection (DI) design pattern is essential. Key Responsibilities . Design, develop, and maintain FastAPI backend services targeting embedded edge device environments. . Implement clean, testable code using the Dependency Injection (DI) design pattern throughout the application layer. . Interface with physical peripherals (GPIO, serial, CAN bus, I2C, SPI, etc.) through well- defined service abstractions. . Implement Unix Domain Socket (UDS) communication channels for efficient, low- latency inter-process communication between backend services and peripheral daemons. . Design and expose RESTful and/or async APIs for intra-device and cross-service communication. . Write unit and integration tests to ensure code quality and hardware-in-the-loop reliability. . Participate in code reviews and contribute to architectural decisions. . Document technical designs, APIs, peripheral interfaces, and integration patterns. Node.js Developer: About the Role: We are seeking an experienced Freelance Node.js Developer to join our team on a contract basis. The ideal candidate has hands-on experience building custom Node-RED nodes and developing lightweight Node.js applications optimized for resource-constrained embedded devices. A background in loT edge computing and familiarity with low-level hardware interfaces is highly desirable. Key Responsibilities: . Design, develop, and publish custom Node-RED nodes that extend platform capabilities for loT and edge use cases. . Build and optimize Node.js applications for constrained embedded environments (limited CPU, RAM, and storage). . Integrate with hardware peripherals via serial (UART), 12C, SPI, GPIO, and other low- level interfaces from Node.js. . Develop MQTT-based messaging pipelines and manage broker connectivity, QoS levels, and message persistence. . Profile and optimize memory and CPU usage to meet the constraints of embedded targets (e.g., Raspberry Pi, Beagle Bone, OpenWrt devices). . Write unit and integration tests to ensure node reliability and application stability under constrained conditions. . Participate in code reviews and contribute to architectural and design decisions. . Document custom node APIs, configuration schemas, and deployment procedures.

Description We are seeking a versatile UI/UX Designer/Developer who bridges design and front-end implementation. You will own the end-to-end user experience—from research and wireframes through high-fidelity Figma prototypes to production-ready, responsive interfaces. The ideal candidate is equally comfortable shaping a design system in Figma and translating it into clean, maintainable code that performs across screen sizes and devices. Category / Tags UI/UX Design, Front-End Development, Figma, Responsive Design Experience Level Intermediate to Senior (proven track record of shipped responsive UI/UX and front-end work) Key Responsibilities • Design intuitive, accessible user interfaces for responsive web and mobile applications, covering the full flow from concept to delivery. • Create wireframes, user flows, interactive prototypes, and high-fidelity mockups in Figma. • Build and maintain a scalable design system—components, tokens, and style guides—to ensure visual and behavioral consistency. • Translate designs into responsive front-end code using HTML, CSS, and modern JavaScript frameworks (e.g., React, Vue). • Ensure layouts adapt fluidly across breakpoints, devices, and orientations using responsive and mobile-first techniques. • Conduct user research, usability testing, and feedback sessions, then iterate on designs based on findings and analytics. • Collaborate closely with product managers, back-end engineers, and stakeholders to align design with technical and business goals. • Champion accessibility (WCAG) and performance best practices throughout the design and build process. Required Skills • Proven experience as a UI/UX Designer, Front-End Developer, or a hybrid role combining both. • Strong portfolio demonstrating responsive application design and shipped interfaces. • Expert proficiency in Figma, including components, auto-layout, variants, and prototyping. • Solid command of HTML5, CSS3 (Flexbox/Grid), and JavaScript, plus at least one modern framework (React, Vue, or similar). • Deep understanding of responsive and adaptive design principles across web and mobile. • Working knowledge of design systems, accessibility standards, and cross-browser compatibility. • Strong communication skills and the ability to articulate and defend design decisions. Nice to Have • Experience with version control (Git) and collaborative developer workflows. • Familiarity with motion/interaction design and micro-interactions. • Exposure to user analytics and A/B testing tools. • Understanding of REST APIs and how front-end consumes back-end services. • Experience designing for IoT, dashboards, or data-heavy applications.

About The Role: We are building an enterprise-grade agentic RAG pipeline that processes and retrieves knowledge from large, multilingual document corpora — spanning Arabic and English — across multiple business domains. The system must meet strict cross-domain isolation and safety requirements. As the pipeline engineer, you will own the full stack: from raw document ingestion and OCR through embedding, vector storage, and retrieval, all the way up to the agent loop that orchestrates tool calls, manages confidence, and triggers escalation when needed. You will decide how documents are chunked, how the embedding model is enforced consistently, and how the Qdrant collections are structured per team. You will also shape the prompting strategy that governs multilingual behavior and enterprise tone, and put in place the guardrails that ensure responses stay within domain boundaries. This is a hands-on, end-to-end role for an engineer who is comfortable operating at every layer of an AI retrieval system and takes full ownership of quality — from retrieval precision to hallucination prevention. Key responsibilities:  Implement ingestion pipeline: OCR (PaddleOCR), text cleanup, chunking strategy, metadata tagging.  Implement embedding pipeline and enforce embedding model consistency  Implement Qdrant schema design, per-team collections, snapshot export/import, and update strategy (delta vs full replace).  Improve retrieval quality (k selection, reranking if needed, context window management). • Implement agent loop (e.g., LangGraph) and tool-calling patterns (RAG, OCR, escalation, summarization). • Implement escalation triggers: o Model self-assessment (confidence) o Rule-based classifier for “must escalate” queries • Ensure responses respect guardrails and do not leak cross-domain information. • Tune prompts for multilingual behavior (Arabic/English) and enterprise tone. Required Skills & Experience: • Practical RAG engineering, text processing, vector DB operations (Qdrant). • Performance optimization on CPU-constrained devices. • Strong testing mindset for retrieval quality and isolation. • Strong LLM prompting, tool-use design, agent frameworks (LangGraph/LangChainequivalent). • Experience with evaluation methods (golden sets, regression tests for hallucinations/leakage). • Understanding of safety/guardrails in enterprise contexts. Nice to Have (Optional): • Familiarity with PaddleOCR or similar open-source OCR tooling. • Experience deploying AI workloads on edge or CPU-only servers. • Prior work with multilingual NLP (Arabic/English tokenization, normalization). • Knowledge of Qdrant internals: payload filtering, HNSW tuning, snapshots. • Exposure to LangGraph or comparable stateful agent orchestration frameworks. • Contribution to or maintenance of evaluation harnesses / golden-set test suites.

About the Role:- We are seeking an experienced Freelance End-to-End (E2E) Tester to join our team on a contract basis. The ideal candidate has hands-on experience validating web-based IoT applications that span both edge and cloud environments. You will design and execute comprehensive test strategies covering the full application stack — from physical-layer protocol interfaces at the edge (e.g., Modbus, OPC-UA, MQTT, BACnet) through to cloud-hosted dashboards, APIs, and data pipelines. Key Responsibilities:- • Design and execute end-to-end test plans and test cases covering edge devices, cloud services, and web-based dashboards. • Validate data flows from physical-layer protocol interfaces (e.g., Modbus, OPC-UA, MQTT, BACnet, Zigbee) through edge gateways to cloud platforms. • Perform functional, integration, regression, and exploratory testing across edge and cloud application layers. • Test REST/WebSocket APIs, cloud-to-device and device-to-cloud messaging pipelines, and real-time telemetry ingestion. • Validate edge application behavior under constrained environments (limited compute, intermittent connectivity, offline-first scenarios). • Execute performance, load, and stress testing on cloud-hosted components and API endpoints. • Identify, document, and track defects with clear reproduction steps; verify fixes and close issues. • Collaborate with developers, DevOps, and product owners to define acceptance criteria and ensure release quality. Required Skills & Experience:- • 2+ years of professional experience in software or systems testing, with at least 0.5 year on IoT or embedded/edge systems. • Solid understanding of IoT architecture — edge gateways, cloud platforms (e.g., AWS IoT, Azure IoT Hub, ThingsBoard), and device lifecycle. • Hands-on experience testing applications that consume physical-layer protocols (Modbus RTU/TCP, OPC-UA, MQTT, BACnet, or similar). • Proficiency with API testing tools (Postman, REST Assured, or similar) for REST and WebSocket endpoints. • Experience writing and maintaining automated test scripts (e.g., Playwright, Selenium, Cypress, or similar) for web-based dashboards. • Ability to read and interpret data at the protocol level — packet captures, message payloads, telemetry streams. • Familiarity with Docker and containerised edge/cloud deployments for setting up and tearing down test environments. • Ability to work independently, manage your own test delivery timeline, and communicate progress and risks proactively. Nice to Have (Optional) • Experience with ThingsBoard IoT platform — rule chains, telemetry, device management, or widget testing. • Familiarity with time-series data validation (InfluxDB, TimescaleDB, PostgreSQL, or Cassandra). • Knowledge of Zigbee, Z-Wave, LoRaWAN, or other wireless IoT protocols. • CI/CD pipeline experience and integrating automated tests into GitHub Actions or GitLab CI. • Background in edge computing platforms or embedded Linux environments.