
AI Engineer
1 week ago
About our organization
We are a global insurance leader with operations in 54 countries and territories.
Digital Transformation JourneyWe embark on an exciting digital transformation journey driven by a commitment to engineering excellence and analytics. We have been officially certified as a Great Place to Work for the third consecutive year, reflecting our culture that fosters an environment where everyone can thrive, innovate, and grow.
We encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. Our team of over 2500 talented professionals empowers us to build expertise in engineering, analytics, and automation, driving success in a dynamic digital landscape.
We offer an environment where you will be part of an organization dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.
Job OverviewAs an Artificial Intelligence Engineer, you'll collaborate with a global team of AI practitioners, software engineers, and business architects to implement cutting-edge AI-enabled digital solutions to transform the P&C insurance globally. This role offers the opportunity to develop, deploy, and optimize Large Language Models (LLMs).
Your Key Responsibilities:
- Design, build, and serve LLMs to solve complex business challenges using cloud-based platforms.
- Research and implement state-of-the-art LLM techniques including pre-training, fine-tuning, preference alignment, and deployment while focusing on prompt engineering and generative AI more broadly.
- Develop novel data sets that enable LLMs to perform new tasks, as well as tooling/platforming to collect these samples at scale.
- Ensure high-quality code that meets business objectives, quality standards, and development guidelines.
- Build reusable pipelines, processes, and tools to streamline LLM and generative AI workflows.
- Manage project stakeholder expectations and issue communications on progress.
- React to shifting priorities without compromising deadlines and momentum.
Requirements and Qualifications:
- 3+ years' experience in AI/ML.
- Experience in LLM Engineering – pretraining, post-training /alignment.
- Deep expertise in writing and reviewing production code in Python.
- Understanding of the development lifecycle for LLMs, including developing data sets for pre-training, instruction tuning, and preference alignment alongside modeling techniques for each stage and LLM deployment.
- Multi-disciplinary approach to problem-solving, including excellent interpersonal and communication skills.
- Strong knowledge of LLM frameworks and libraries, as well as various ML techniques and their practical implementation in production at large scale.
- Experience building software on top of major container technology.
Benefits
At our organization, you'll be part of a leading global insurance company empowered by underwriting and engineering excellence. Our constant focus on employee experience along with a start-up-like culture enables you to achieve impactful results.
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