AI Engineer

Building the world's first visual modelling solution for corporate structures and transactions, transforming how professionals work with complex information.
Machine Learning
Mid-Level Software Engineer
Hybrid
AI · Enterprise SaaS

Description For AI Engineer

StructureFlow is revolutionizing how professionals handle complex corporate structures and transactions through their innovative visual modelling solution. As a Series A funded startup with impressive traction, they serve over 50 international law firms, including 3/5 of the UK Magic Circle and many US AMLAW 200 firms. They're seeking an AI Engineer to join their Engineering team at a crucial scaling phase. The role focuses on leveraging generative AI to enhance data visualization capabilities, allowing users to create, query, and manipulate complex diagrams using unstructured data sources. This position offers a unique opportunity to work with cutting-edge AI technology while directly impacting how legal professionals interact with complex information. The ideal candidate will be proficient in Python, have experience with cloud-based AI models, and understand LLM agent-based applications. The company offers a flexible hybrid work environment, competitive compensation, and the chance to be part of a transformative solution in professional services. Working at StructureFlow means joining a dynamic team that's building critical infrastructure for the future of transactions, with the potential to make a significant impact on both the company and its prestigious client base.

Last updated 10 minutes ago

Responsibilities For AI Engineer

  • Enhance product AI features
  • Take a hands-on role in developing AI capabilities
  • Understand client requirements about rapidly evolving AI technology
  • Help create, query, and manipulate complex diagrams using unstructured data sources

Requirements For AI Engineer

Python
TypeScript
  • Proficient in Python
  • Experience with deploying and using AI models on cloud platforms (preferably Azure and OpenAI)
  • Experience with developing LLM agent-based applications
  • Able to explain complex AI implementations to colleagues
  • Familiarity with ontologies for professional knowledge domains
  • Visual interface design for presenting AI features
  • Awareness of ongoing innovations and solutions in the AI & LLMs domain

Benefits For AI Engineer

Education Budget
  • Competitive salary
  • Flexible working – 3 days in WeWork London office
  • Learning & development budgets and support
  • Regular socials and events
  • Opportunity to join a dynamic startup
  • High impact work

Interested in this job?

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