Software Engineer

Afuva Afuva is a pioneering technology company specializing in advanced AI solutions. We develop cutting-edge AI for smart devices, home automation, image and vision, and wearable technology, alongside robust quantitative frameworks for finance and investment. Our mission is to transform industries and enhance daily life through intelligent innovation. The Opportunity We are seeking a talented and passionate Software Engineer to join our growing technology team. You will play a crucial role in building and maintaining the robust infrastructure that powers our sophisticated trading systems and contribute to the development of innovative AI applications across diverse domains. This is an exciting opportunity to work with cutting-edge technologies , collaborate with brilliant minds in finance and AI, and make a tangible impact in a fast-paced, data-driven environment . Responsibilities Design, develop, test, and deploy high-performance, low-latency software solutions for our algorithmic trading platform. Contribute to the development, integration, and deployment of machine learning and artificial intelligence models into our trading infrastructure and broader AI applications. Build and maintain scalable and reliable data pipelines for collecting, processing, and analyzing large datasets. Collaborate with quantitative researchers and traders to understand their requirements for both trading systems and AI models. Participate in the full software development lifecycle, from requirements gathering and system design to deployment and ongoing support. Explore and implement new technologies and architectures , including those relevant to machine learning and AI infrastructure, to improve system performance, scalability, and reliability. Contribute to the design and architecture of broader AI applications beyond trading , potentially in areas such as data analytics, automation, or other innovative solutions. Ensure code quality, maintainability, and adherence to best practices . Troubleshoot and resolve technical issues in a timely and efficient manner. Contribute to the team's knowledge sharing and mentorship efforts. Qualifications Bachelor's or Master's degree in computer science, engineering, or a related quantitative field. Strong programming skills in one or more of the programming languages. Solid understanding of data structures, algorithms, and software design principles , and best practices for building scalable and resilient systems. Excellent problem-solving and analytical skills . Strong communication and collaboration skills . Ability to thrive in a fast-paced and dynamic environment . A passion for technology and a desire to learn and grow in both software engineering and machine learning/AI domains . Demonstrated understanding of fundamental machine learning and artificial intelligence concepts . Bonus Points Experience with financial trading systems or market data . Knowledge of machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their system design implications for scalability and reliability. Experience with big data technologies (e.g., Spark, Kafka) and system design for large-scale data processing. Understanding of statistical concepts and data analysis techniques . Contributions to open-source projects . What We Offer A stimulating and intellectually challenging work environment at the forefront of finance and AI. Opportunities to work with cutting-edge technologies and learn from experienced professionals in software engineering, system design, and machine learning/AI . A collaborative and innovative team culture that encourages growth and new ideas. Competitive compensation and benefits package . Opportunities for professional development and advancement . The chance to contribute to impactful projects that drive real-world results and shape the future of our company's expansion into broader AI applications. If you are a driven and talented Software Engineer with a strong foundation in system design and a keen interest in machine learning and artificial intelligence, we encourage you to apply #J-18808-Ljbffr