Job Description

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 (e.g. Gemini, Llama, Claude, 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 (Llama, Gemini, Claude, GPT etc.) 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 of 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 (e.g. Vertex AI, Hugging Face, LangChain, 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.

Skills Required