Senior Software Engineer, GenAI Platforms
3 days ago
Job Type: Permanent (HC) Location: Singapore, SG Senior Software Engineer, GenAI Platforms Job Summary We are seeking an experienced Senior Software Engineer with a strong track record in software development and deep expertise in implementing Generative AI (GenAI) solutions from concept to production within an enterprise environment. The successful candidate will play a key role in building SGX’s AI strategic platform, collaborating closely with Product Management to design, develop, and operationalize modern AI and LLM-based systems such as Gemini, Llama, Claude, and GPT. This role encompasses end‑to‑end ownership – from whiteboard design to live production deployment – and includes hiring, mentoring, and leading a small, high‑performing team of engineers. Job Responsibilities Lead the design, development, and deployment of GenAI and LLM-based applications from prototype to production. Partner with Product Managers to define and execute SGX’s AI strategy and roadmap, including an enterprise‑grade AI platform. Architect scalable and secure solutions using GCP and AWS cloud environments. Implement modern AI/ML infrastructure, MLOps, and data pipelines for both real‑time and batch inference. Integrate foundation models such as Llama, Gemini, Claude, and GPT into SGX’s products, workflows, and internal tools. Drive system reliability, scalability, and compliance with SGX standards. Hire, mentor, and lead a small team of engineers, fostering best practices in AI and software engineering. Conduct experimentation, benchmarking, and continuous optimization of model performance. Produce clear, maintainable technical documentation, architecture diagrams, and reproducible deployment processes. Job Requirements 10+ years of professional experience in software engineering, including system design, development, and deployment in production environments. Bachelor's or Master's degree in Computer Science, AI/ML Engineering, or a related technical field. Proven experience deploying GenAI or LLM-based systems in production. Deep familiarity with LLM frameworks and APIs such as Vertex AI, Hugging Face, LangChain, and OpenAI API. Hands‑on expertise with cloud infrastructure (GCP, AWS) and containerized environments (Docker, Kubernetes). Proficient in Python and modern software delivery practices (CI/CD, version control, testing frameworks). Strong understanding of data engineering, feature pipelines, and model lifecycle management. Excellent communication and collaboration skills with cross‑functional teams (product, data, infrastructure). Demonstrated leadership experience in hiring, mentoring, and developing engineering teams. Analytical thinker with strong attention to detail and a focus on delivering measurable business outcomes. #J-18808-Ljbffr
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