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  • Posted: May 12, 2025
    Deadline: Not specified
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  • Sproxil uses mobile technology to combat counterfeiting and increase brand equity with innovative, consumer-focused product protection and targeted marketing solutions. Its award-winning Sproxil Defenderâ„¢ technology drives revenue and engages consumers at point of sale through brand assurance, fraud protection, and loyalty rewards. Sproxil...
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    Quality Assurance Engineer

    Job Description

    • As a Quality Assurance Engineer, you will be responsible for all of Sproxil's quality assurance program design and implementation and interact with Sproxil team members across 3 continents. Individuals who are attracted to intriguing system architecture design and testing, rapid prototyping beta products using the latest tools and seeing technology make a notable difference to people’s lives worldwide would really enjoy this role.

    Key Responsibilities
    The Quality Assurance Engineer is responsible for working with Sproxil’s technology team to:

    • Develop comprehensive test strategies, plans, and test cases for features within an agile development environment
    • Develop standards and procedures for measuring product quality and release readiness
    • Perform troubleshooting activities and clearly document / track defects in the defect tracking system (JIRA)
    • Collaborate with stakeholders to understand business requirements
    • Assist stakeholders and the development team with defining user stories
    • Coordinate Quality Assurance (QA) test effort across multiple products
    • You will need to display great initiative and independence, together with strong organizational, relationship building and interpersonal skills. You will proactively resolve issues before they arise and promptly address technology needs as assigned by your supervisor.

    Requirements

    • An individual with the highest levels of energy, self-direction, determination, and team spirit is required, combined with superior communication skills. You must have excellent organizational and interpersonal skills, superior cultural awareness of how technology is used in developing nations, and a desire to work for a fast-paced start-up that can offer significant career growth.

    You Will Have These Qualifications

    • 2 years of QA experience with AI chatbot application
    • 1+ years working in an agile development environment
    • Demonstrated experience designing and executing comprehensive test plans
    • Detail-oriented, impeccable problem solving skills
    • Experience working closely with developers and designers
    • Familiarity with JIRA or similar bug tracking software
    • Basic knowledge of SQL queries and database testing
    • Hands-on experience in API testing
    • High motivation and intelligence with strong interpersonal and oral/written communication skills
    • Bachelor's degree in a related discipline. Alternative: professional training course on QA with transcript
    • Flexible work schedule to accommodate global development teams

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    Machine Learning/AI Engineer

    Key Responsibilities

    • Collect, clean, and organize data from various internal and external sources
    • Design and implement machine learning models for classification, regression, recommendation, NLP, computer vision, or other relevant tasks.
    • Build data pipelines for feature extraction, model training, and evaluation.
    • Optimize and fine-tune models for accuracy, latency, and scalability.
    • Collaborate with cross-functional teams to translate business requirements into AI solutions.
    • Deploy models into production using frameworks like TensorFlow Serving, TorchServe, or cloud-based tools.
    • Monitor and maintain model performance post-deployment, including retraining and versioning.
    • Document models, experiments, and workflows clearly and effectively.
    • Stay updated on the latest research and advancements in AI/ML.

    Requirements

    • Good understanding of prompt engineering
    • Good understanding of LangChain/LangGraph for the development of intelligent Agentic AI
    • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
    • 2 years of experience in machine learning, deep learning, or AI-related roles.
    • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or XGBoost.
    • Strong understanding of algorithms, statistics, and data structures.
    • Experience with data preprocessing and feature engineering for structured and unstructured data.
    • Familiarity with deploying models to production (e.g., using Docker, Flask, FastAPI, or cloud ML services).
    • Experience with version control (Git) and collaborative development practices

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    Backend Engineer

    • As a backend Software Developer at Sproxil Nigeria Limited, you will play a critical role in designing, developing, and deploying features, working closely with our frontend developers, product managers, and stakeholders to ensure seamless integration and top-tier performance.

    Key Responsibilities

    • Design, develop, and maintain APIs and backend services that support our web and mobile applications.
    • Build scalable and high-performance systems, ensuring reliability, security, and efficiency.
    • Optimize and fine-tune applications to ensure seamless performance
    • Collaborate with cross-functional teams to implement new features and improve existing ones
    • Write clean, maintainable, and well-documented code.
    • Troubleshoot and debug complex issues, providing effective solutions.
    • Keep up to date with industry trends, emerging technologies, and best practices in backend development.

    Requirements

    • Experience: 6months - 2 years experience in backend development (SIWES & NYSC can apply)
    • Education: Bachelor's degree in Computer Science or any related fields
    • Sound knowledge of backend technology Node.js
    • Experience with databases (SQL, NoSQL), data modeling, and database design
    • Familiarity with RESTful APIs, microservices architecture, and cloud technologies (Azure)
    • Proficient in version control (e.g., Git) and agile methodologies
    • Solid understanding of security and data protection practices
    • Excellent problem-solving skills and attention to detail
    • Excellent communication skills
    • Strong Java programming skills
    • Understanding of modern web architecture and technologies

    Preferred Technical Skills

    • Good understanding of TypeScript
    • ExpressJs framework,NestJS
    • Good understanding of OOP(Object Oriented Programming)
    • Familiarity with unit testing using Jest.
    • Good understanding of how the web frontend works
    • Relational database experience (MySQL)
    • Experience with a Linux based operating system: Should be able to SSH into a remote machine, copy files, start services, etc. Candidates will be required to demonstrate advanced hands-on knowledge of this during the interview process.This will be tested in a real-time environment
    • Ability to operate independently and flexibly in a demanding and multi-cultural start-up environment

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    AI Backend Engineer

    Key Responsibilities

    • Design and implement scalable APIs and microservices for AI model deployment and data ingestion.
    • Collaborate with ML engineers to integrate and serve machine learning models (e.g., via REST).
    • Build and maintain data pipelines to support training and inference workflows.
    • Manage and optimize model storage, versioning, and lifecycle in production.
    • Ensure backend systems are performant, secure, and fault-tolerant.
    • Automate and monitor AI service deployments using containerization and orchestration tools (e.g., Docker, Kubernetes).
    • Implement logging, monitoring, and alerting for AI backend services.
    • Participate in code reviews, architecture design, and performance tuning.

    Requirements

    • Experience: 6months - 1 years experience in backend development (NYSC and SIWES preferred)
    • Education: Bachelor's degree in Computer Science or any related fields
    • Proficiency in backend languages like Python, Node.js, Java, or Go.
    • Experience with frameworks such as FastAPI, Flask, Django, or Express.
    • Strong understanding of REST APIs, authentication (OAuth2, JWT), and data serialization formats (JSON).
    • Familiarity with AI model serving tools (e.g., TensorFlow Serving, TorchServe, Triton Inference Server).
    • Proficient in working with databases (SQL and NoSQL)
    • Experience with Git, CI/CD pipelines, and container orchestration (Docker, Kubernetes).

    Method of Application

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