AI Engineer

The Opportunity

The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large-scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers!

Every day is different, but here's an example of the kind of things you'll work on:

• Design and build generative AI applications tailored to complex financial and legal workflows, leveraging state-of-the-art models to deliver innovative, practical solutions that streamline decision-making and unlock new efficiencies.

• Drive end to end model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed model delivery/deployment.

• Collaborate cross functionally to share diverse ideas, understand business problems, and elevate/mentor your teammates.

• Translate complex problems into well-defined scoped bets in an internal startup style environment, dynamic and fast-paced.

• Learn and apply ground-breaking research and approaches in advanced topics, iterating improvements with a fail fast mentality.

• Be a proactive sharer of compelling ideas/work to the rest of the team and organisation. We want you to help lead/push the adoption of AI throughout 9fin.

This role will be a great fit if you

• Strong proficiency in Python for production ready delivery.

• You’re an expert in any of the following areas - deep expertise in one and familiarity with others is ideal:

  • Information Retrieval: chunking strategies, (finetuning) embedding models, training re-rankers.

  • Entity/relationship extraction/resolution

  • Knowledge Graphs; building and inference, graphRAG

  • Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc.

  • Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)

  • Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc.

  • Deep understanding of the GenAI landscape and agentic frameworks.

• Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals!

• You have a strong product focus with a desire to understand the end-to-end impact of your solutions for our end users.

• Good knowledge of AWS’s AI infrastructure.

Benefits

We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.