AI Engineer

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.

The day to day:

• 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.

Requirements

• You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences.
• You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business.
• PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,
• Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,
• Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results.
• Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution.
• Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git.
• Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc.
• Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors.
• Knowledge of OO programming and software design, i.e., SOLID principles.
• Knowledge and working experience of AGILE methodologies.
• Familiarity with Databricks, and RAG application architecture a plus
• Experience with latency optimisation and quantisation preferred