We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value.
You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good.
What you鈥檒l do:
- Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits.
- Support the data science and AI team in deploying scalable AI applications across the enterprise.
- Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS.
- Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries.
- Develop prompts, fine-tune models, and track results.
- Evaluate third-party GenAI and LLM technologies for cost-benefit analysis.
- Deliver projects from scoping and R&D to production deployment and benefit measurement.
- Follow and contribute to standards for code quality, R&D, and model development.
- Engineer data for optimal AI application performance.
- Advise peers and senior management on business and customer impact.
- Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL.
- Liaise with third-party partners and stay updated on field advancements and regulations.
- Collaborate with data governance and data management teams on data requirements.