Senior Software Engineer

We are seeking a highly skilled and experienced Senior Software Engineer with a strong foundation in full stack development and a passion for AI innovation.

This individual will play a key role within the AI & Innovation team, designing and developing robust software solutions that integrate AI and machine learning capabilities to support strategic business initiatives.

Key Responsibilities

• Design, develop, and maintain scalable web and mobile applications using both front-end and back-end technologies.
• Integrate AI/ML models into applications for intelligent automation and enhanced user experience.
• Develop scalable, secure, and efficient software architectures aligned with company goals.
• Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to deliver AI-enhanced applications.
• Provide technical leadership and mentorship to junior engineers, fostering a culture of innovation and collaboration.
• Apply statistical methods to data and model performance using a strong foundation in statistics and probability.
• Conduct thorough code reviews, testing, and enforce software development best practices.
• Lead complex development projects from conception through deployment, ensuring quality and timely delivery.
• Stay current with emerging technologies in full stack development and AI/ML, applying insights to enhance existing solutions.
• Troubleshoot and resolve software defects and performance issues, implementing system improvements.

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 7+ years of hands-on experience in full stack development with demonstrated success in implementing AI solutions.
• Back-end expertise in .NET Core with C#, Python, Node.js, Java, and database experience (SQL and No
  
  SQL).
• Proven experience in developing API-based backend systems.
• Strong understanding of AI/ML technologies and frameworks such as Tensor Flow, PyTorch, Keras, and scikit-learn.
• Experience in NLP tasks and generative models including GPT, GANs, VAEs, DALL-E, Style
  
  GAN, and Cycle
  
  GAN.
• Familiarity with image generation and image processing techniques.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and Dev Ops tools including Docker, Kubernetes, CI/CD pipelines.
• Solid knowledge of software development lifecycle and Agile methodologies.
• Strong problem-solving, analytical, and communication skills.
• Demonstrated ability to work independently and as part of a collaborative team.

• Master’s degree in Computer Science or related discipline.
• Proven interest in AI research and innovation, with the ability to stay up to date with the latest trends and publications.
• Experience creating full end-to-end application solutions that incorporate GenAI capabilities.
• Prior experience working with large-scale AI applications or AI product teams.
• Familiarity with product development life cycles and documentation practices.
• Experience leading small development teams or modules.