AI Software Engineer
StarHub Green
StarHub
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We are seeking a Full Stack AI Software Engineer with expertise in AI/ML technologies to drive the development and enhancement of our platform development initiatives. You will work closely with cross-functional teams to build AI-powered features that empower intelligent decision-making, improve user experiences, and optimize operations. The ideal candidate will be passionate about building scalable software, creating AI-driven solutions, and leveraging the latest advancements in machine learning and artificial intelligence.
Key Responsibilities:
• Full Stack Development: Design, build, and maintain both the frontend and backend of our platforms using modern web technologies (React, Node.js, etc.) while ensuring the integration of AI-powered features.
• Agentic AI Integration: Implement and optimize agentic AI systems that autonomously interact with users, make recommendations, and handle transactions. Ensure these systems drive actionable insights, predictions, and intelligent decision-making.
• AI & Machine Learning Models: Develop, train, and integrate machine learning and deep learning models, leveraging frameworks such as TensorFlow, PyTorch, or other relevant tools.
• Collaborative Development: Work closely with product managers, UX/UI designers, and other engineering teams to align on product requirements and deliver robust solutions.
• Scalability & Performance: Optimize platform architecture to handle large-scale, high-traffic applications with a focus on performance, security, and reliability.
• Continuous Improvement: Stay current with the latest AI and software development trends, and continuously refine platform capabilities to keep up with industry advancements.
• Testing & Quality Assurance: Implement automated testing frameworks and collaborate with QA teams to ensure the robustness and quality of AI features and platform functionalities.
• Documentation & Best Practices: Write clear, concise documentation for AI components and software features. Follow best practices in coding, security, and software development processes.
Qualifications
. Bachelor or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
• Proven Experience: 4+ years of experience as a Full Stack Developer, with at least 1-2 years working on AI-driven projects, specifically in developing agentic AI systems.
• Full Stack Expertise: Strong proficiency in both front-end (React, Angular, Vue.js) and back-end (Node.js, Express, Python, etc.) development.
• AI and ML Expertise: Experience developing and deploying machine learning models, particularly agent-based AI models (reinforcement learning, multi-agent systems, autonomous decision-making).
• Programming Languages: Proficient in Python, JavaScript, TypeScript, and other languages commonly used in AI and full-stack development.
• Frameworks & Tools: Familiarity with AI/ML frameworks (TensorFlow, PyTorch, Keras) and modern web frameworks (React, Vue, etc.).
• Database Knowledge: Experience with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis).
• Cloud & DevOps: Experience with cloud platforms (AWS, Google Cloud) and containerization tools (Docker, Kubernetes).
• Agile Methodology: Familiarity with Agile software development methodologies, working in iterative sprints and collaborating with a team in an agile environment.
• Problem-Solving & Critical Thinking: Strong analytical skills and the ability to design complex systems that leverage AI to solve real-world problems.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Angular Architecture AWS Computer Science Deep Learning DevOps Docker Engineering GCP Google Cloud JavaScript Keras Kubernetes Machine Learning ML models MongoDB Node.js NoSQL PostgreSQL Python PyTorch React Reinforcement Learning Security SQL TensorFlow Testing TypeScript UX Vue
Perks/benefits: Career development
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