Senior AI Engineer

At MB Life, we believe that AI is the core driver of breakthroughs in the insurance industry and a key enabler for optimizing the way we work. As a Senior AI/ML Engineer, you will be at the forefront of exploring, evaluating, and applying cutting-edge AI technologies from the open-source community and leading global providers to solve real-world business challenges.Your mission is not to build everything from scratch, but to stand on the shoulders of giants—leveraging the power of pre-trained models, cloud-based AI platforms, and open-source solutions to deliver value quickly, from enhancing customer experiences to automating and accelerating internal software development processes.Key Responsibilities1. Research, Experimentation, and Integration of AI Solutions:Proactively research and evaluate AI models, libraries (e.g., Hugging Face, LangChain), and cloud-based AI services (AWS/GCP/Azure) to identify the most suitable technologies for each use case.Rapidly build Proof-of-Concept (PoC) prototypes to validate the feasibility and effectiveness of AI solutions before large-scale deployment.Design system architectures and directly integrate AI solutions into the company’s existing systems (Java backend, Flutter/Dart applications) via APIs.2. Process Automation and Optimization with AI:Analyze the Software Development Lifecycle (SDLC) and propose AI-powered tools (e.g., AI Copilots, AIOps, AI for Testing) to improve DORA metrics (accelerating deployment, reducing failure rates).Develop internal AI systems using Retrieval-Augmented Generation (RAG) techniques to optimize access and utilization of the company’s knowledge base (Jira, Confluence, business documentation).3. AI Operations and Governance (MLOps):Deploy AI models/services as containers (Docker) on Kubernetes platforms.Establish CI/CD pipelines to automate packaging and deployment of AI services.Build monitoring systems to track performance, costs, and effectiveness of AI services in production; detect and mitigate model drift early.Implement guardrails to ensure AI solutions are safe, secure, and ethically responsible.