Senior Software / AI Engineer at T.O.N Corporate Services

We are seeking an experienced and visionary Senior Software / AI Engineer to lead the strategic direction, development, and execution of AI-driven software solutions across the organization. The ideal candidate will design and implement advanced AI architectures, develop cutting-edge machine learning models, and leverage emerging AI technologies to solve complex business problems. This role requires ensuring robust system performance, security, and scalability while driving innovation and providing technical leadership to AI, DevOps, and software teams.

Key Responsibilities

• Define and drive the strategic objectives and roadmap for AI software engineering in alignment with organizational goals.
• Design, implement, and manage AI-focused software systems and next-generation large language model (LLM) applications.
• Lead and scale high-performing engineering teams specializing in AI/ML, software development, DevOps, and MLOps.
• Establish and maintain best practices in software engineering, including architecture, coding standards, testing, and documentation.
• Develop and deploy advanced machine learning models, including multimodal AI systems and autonomous AI agents.
• Work with massive sparse expert models and implement longer contextual memory techniques to enhance AI performance.
• Build and optimize AI models for performance, scalability, and efficiency using cloud-based infrastructure.
• Implement Explainable AI (XAI) methodologies to ensure transparency, accountability, and ethical AI development.
• Develop Small Language Models (SLMs) for edge computing and domain-specific applications.
• Create and deploy GenAI observability tools and cybersecurity solutions.
• Collaborate with cross-functional teams to integrate AI capabilities into existing and new products.
• Stay abreast of emerging trends in AI — including any-to-any multimodal systems, edge AI, and humanoid robotics.
• Apply data augmentation techniques to improve model training efficiency.
• Integrate Natural Language Processing (NLP) advancements for enhanced user interaction and experience.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 7–10 years of relevant experience in software engineering and AI/ML, with at least 4 years in senior engineering leadership roles.
• Knowledge of machine learning algorithms (linear/logistic regression, decision trees, random forests, SVMs, k-means, etc.).
• Knowledge of large language models (LLMs): pretraining, fine-tuning, and prompt engineering.
• In-depth understanding of software architecture and system design.
• Strong knowledge of RESTful API design and integration.
• Knowledge of DevOps pipelines and container security.
• Understanding of SQL and NoSQL databases: MySQL, MongoDB, Redis.
• Familiarity with ethical principles in AI: fairness, bias, accountability, transparency.
• Knowledge of AI use cases across industries (e.g., NLP chatbots, recommendation engines, fraud detection, computer vision).
• Knowledge of people management and mentoring best practices.

Required Skills & Competencies

• Programming Proficiency: C++ or JavaScript, and Rust (required); GoLang is an added advantage.
• Cloud & DevOps Expertise: AWS, Azure, Git, and CI/CD DevOps practices.
• Architecture Knowledge: Microservices Architecture, RabbitMQ, and Dynamic Programming.
• Database Proficiency: MySQL, MongoDB, and Redis.
• Strong understanding of full-stack software development and engineering principles.
• Experience in large language model (LLM) development, fine-tuning, and deployment.
• Knowledge of multimodal AI systems and autonomous agent frameworks.
• Excellent communication, leadership, and stakeholder management abilities.
• Strategic thinker with proven experience translating business needs into innovative technical solutions.
• Passion for AI ethics, responsible innovation, and developing technologies that positively impact lives.
• Demonstrated ability to lead and mentor high-performing engineering teams.
• Strong decision-making, analytical, and problem-solving skills.
• Proven track record in aligning technical initiatives with organizational vision and driving transformation.