Senior AI Engineer; Graphs

Requirements

• Knowledge Graph Design & Ontology Modelling:
  Expertise in modelling complex domains as interconnected graphs, covering companies, sponsors, lenders, law firms, financial instruments, transactions, documents, events, and their relationships
• Entity Resolution & Canonical Data Modelling:
  Strong experience with identity resolution, record linkage, alias handling, and entity disambiguation across fragmented and noisy financial datasets
• Relationship Extraction & Knowledge Acquisition:
  Proven ability to extract structured entities, events, and relationships from unstructured sources such as filings, legal documents, news, transcripts, and research content
• Graph Search & Retrieval Systems:
  Experience building graph-native retrieval and exploration capabilities that surface relationships, ownership structures, transaction histories, and connected entities
• Similarity, Peer & Precedent Discovery:
  Ability to design systems that identify comparable companies, relevant precedents, analogous situations, and related transactions using both graph structure and content signals
• Graph Machine Learning:
  Familiarity with graph embeddings, node similarity, clustering, community detection, link prediction, and relationship scoring techniques
• Production Data & Platform Engineering:
  Experience building and operating entity stores, graph pipelines, knowledge infrastructure, and low-latency serving systems at production scale
• Strong proficiency in Python for production ready delivery
• 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
• If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway

• 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 Senior 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
• What Makes This Role Different:
• This role is focused on building systems of persistent knowledge: representing entities, relationships, and events that evolve over time. While experience with LLMs, retrieval systems, and recommendation engines is valuable, the primary challenge is creating and maintaining the knowledge graph that powers intelligence, discovery, and workflow automation across the platform